05_08_COMPONENT_PATTERNS - Plan de Desarrollo Detallado

INFORMACIÓN GENERAL

Subsistema: 05_08_COMPONENT_PATTERNS - Patrones de Diseño para Componentes DSP Reutilizables Criticidad: ⭐⭐⭐⭐ (Alta - Infraestructura compartida para todos los componentes) Equipo sugerido: 2 desarrolladores en paralelo Duración estimada: 8 semanas (paralelo) / 16 semanas (secuencial) Líneas de código estimadas: ~15,000 LOC (C++ core + tests + examples)

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CONTEXTO Y ARQUITECTURA

05_08_COMPONENT_PATTERNS define patrones de diseño reutilizables que son comunes a todos los componentes DSP. En lugar de re-implementar parameter smoothing, oversampling, o modulation routing en cada componente, estos patrones proveen implementaciones optimizadas y RT-safe que se pueden composar.

Relación con otros subsistemas:

05_04_KERNELS_L0 (primitivas matemáticas)
         ↓
05_07_ATOMS_L1 (componentes básicos)
         ↓
05_08_COMPONENT_PATTERNS ← Usado por todos los layers
         ↓                  (patterns cross-cutting)
05_10_CELLS_L2 (componentes complejos)
         ↓
05_13_ENGINES_L3 (sistemas completos)

6 Patrones Fundamentales: 1. Parameter Smoothing - Anti-zipper noise, transiciones suaves 2. State Management - Save/load state, serialization 3. Oversampling - 2x/4x/8x oversampling para anti-aliasing 4. Modulation Routing - Matrix de modulación (N sources → M destinations) 5. MIDI Mapping - MIDI CC → Parameter mapping 6. Preset System - Save/recall presets (complements 05_14)

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ORGANIZACIÓN EN TIERS

TIER 1 - Base Pattern Infrastructure (Semanas 1-2)

• TAREA 1: Pattern Base Classes & Utilities

TIER 2 - Core Patterns (Semanas 3-5)

• TAREA 2: Parameter Smoothing Pattern
• TAREA 3: State Management Pattern
• TAREA 4: Oversampling Pattern

TIER 3 - Routing Patterns (Semanas 6-7)

• TAREA 5: Modulation Routing Pattern
• TAREA 6: MIDI Mapping Pattern

TIER 4 - High-Level Patterns (Semana 8)

• TAREA 7: Preset System Pattern
• TAREA 8: Integration Testing & Documentation

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TAREAS DETALLADAS

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TAREA 1: Pattern Base Classes & Utilities

Tier: 1 Archivos: 05_08_00_base_patterns/

Core Implementation:

1. Pattern Interface (pattern_base.hpp)

   namespace audiolab::patterns {
   
   // Base class para todos los patterns
   class Pattern {
   public:
       virtual ~Pattern() = default;
       virtual void reset() = 0;
       virtual bool is_rt_safe() const = 0;
   };
   
   // Type traits para patterns
   template<typename T>
   struct is_pattern : std::is_base_of<Pattern, T> {};
   
   } // namespace
   

2. Pattern Utilities (pattern_utils.hpp)

   namespace audiolab::patterns::utils {
   
   // Linear interpolation
   inline float lerp(float a, float b, float t) {
       return a + (b - a) * t;
   }
   
   // Exponential smoothing coefficient
   inline float exp_smoothing_coeff(float time_seconds, float sample_rate) {
       return std::exp(-1.0f / (time_seconds * sample_rate));
   }
   
   // dB to linear conversion
   inline float db_to_linear(float db) {
       return std::pow(10.0f, db / 20.0f);
   }
   
   // Clamp value to range
   template<typename T>
   inline T clamp(T value, T min_val, T max_val) {
       return std::max(min_val, std::min(max_val, value));
   }
   
   } // namespace
   

3. RT-Safety Utilities (rt_safety.hpp)

   namespace audiolab::patterns::rt {
   
   // Stack allocator para RT-safe allocations
   template<size_t MaxBytes>
   class StackAllocator {
   public:
       void* allocate(size_t bytes);
       void deallocate(void* ptr);
   
   private:
       alignas(64) std::byte buffer_[MaxBytes];
       size_t used_ = 0;
   };
   
   // Lock-free ring buffer
   template<typename T, size_t Capacity>
   class LockFreeRingBuffer {
   public:
       bool push(const T& value);
       bool pop(T& value);
       size_t size() const;
   
   private:
       std::array<T, Capacity> buffer_;
       std::atomic<size_t> write_pos_{0};
       std::atomic<size_t> read_pos_{0};
   };
   
   } // namespace
   

Testing Framework:

• Test: Pattern interface compliance
• Test: RT-safety utilities (no allocations)
• Test: Lock-free ring buffer correctness
• Test: Stack allocator bounds checking

Documentation:

• PATTERN_DESIGN_GUIDE.md - Cómo diseñar patterns
• RT_SAFETY_GUIDE.md - RT-safety best practices

Entregables:

• Pattern base classes
• RT-safety utilities
• Documentation
• 100% tests passing

Estimación: 2 semanas (1 dev)

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TAREA 2: Parameter Smoothing Pattern

Tier: 2 Archivos: 05_08_01_parameter_smoothing/

Core Implementation:

1. Linear Smoother (linear_smoother.hpp)

   class LinearSmoother {
   public:
       void set_target(float value, int ramp_samples);
       float next_sample();
       bool is_settled() const;
       void jump_to_target();  // No smoothing
   
   private:
       float current_ = 0.0f;
       float target_ = 0.0f;
       float increment_ = 0.0f;
       int remaining_samples_ = 0;
   };
   

2. Exponential Smoother (exponential_smoother.hpp)

   class ExponentialSmoother {
   public:
       void set_time_constant(float time_ms, float sample_rate);
       void set_target(float value);
       float next_sample();
       bool is_settled(float threshold = 0.001f) const;
   
   private:
       float current_ = 0.0f;
       float target_ = 0.0f;
       float coeff_ = 0.0f;  // Smoothing coefficient
   };
   

3. Logarithmic Smoother (log_smoother.hpp)

   // Para parámetros logarítmicos (frequency, gain, etc.)
   class LogarithmicSmoother {
   public:
       void set_target(float value, int ramp_samples);
       void set_range(float min_val, float max_val);
       float next_sample();
   
   private:
       float current_linear_ = 0.0f;
       float target_linear_ = 0.0f;
       float increment_ = 0.0f;
       float min_value_ = 20.0f;
       float max_value_ = 20000.0f;
       int remaining_samples_ = 0;
   
       float to_linear(float log_value);
       float to_log(float linear_value);
   };
   

4. Multi-Parameter Smoother (multi_smoother.hpp)

   class MultiParameterSmoother {
   public:
       void add_parameter(int id, SmootherType type);
       void set_target(int param_id, float value);
       void set_ramp_time(int param_id, int samples);
   
       float get_smoothed_value(int param_id);
       void process_block();  // Update all smoothers
   
   private:
       struct ParameterState {
           std::unique_ptr<ExponentialSmoother> smoother;
           SmootherType type;
       };
   
       std::unordered_map<int, ParameterState> parameters_;
   };
   

5. Slew Rate Limiter (slew_limiter.hpp)

   // Limits rate of change (useful para modulation)
   class SlewRateLimiter {
   public:
       void set_max_rate(float units_per_second, float sample_rate);
       float process(float input);
   
   private:
       float current_ = 0.0f;
       float max_delta_per_sample_ = 0.0f;
   };
   

Testing Framework:

• Test: Linear smoother accuracy (±0.001)
• Test: Exponential smoother settling time
• Test: Log smoother for frequency parameters
• Test: Zipper noise measurement (<-100dB)
• Test: Multi-parameter smoother coordination
• Test: Slew limiter rate accuracy

Documentation:

• SMOOTHING_GUIDE.md - Cuándo usar cada tipo
• ZIPPER_NOISE_ANALYSIS.md - Análisis espectral

Examples:

// Example: Smooth gain changes
ExponentialSmoother gain_smoother;
gain_smoother.set_time_constant(10.0f, 48000.0f);  // 10ms
gain_smoother.set_target(db_to_linear(6.0f));      // +6dB

for (int i = 0; i < buffer_size; ++i) {
    float gain = gain_smoother.next_sample();
    output[i] = input[i] * gain;
}

Entregables:

• 5 smoother types implementados
• Multi-parameter smoother
• Zipper noise tests
• Documentation y examples
• 100% tests passing

Estimación: 1.5 semanas (1 dev)

---

TAREA 3: State Management Pattern

Tier: 2 Archivos: 05_08_02_state_management/

Core Implementation:

1. State Serializer (state_serializer.hpp)

   class StateSerializer {
   public:
       // Serialize to binary
       std::vector<uint8_t> serialize(const void* data, size_t size);
   
       // Deserialize from binary
       bool deserialize(const std::vector<uint8_t>& data, void* output, size_t size);
   
       // Versioning
       void set_version(uint32_t version);
       uint32_t get_version() const;
   
   private:
       uint32_t version_ = 1;
   };
   

2. Parameter State (parameter_state.hpp)

   struct ParameterValue {
       int id;
       float value;
       float default_value;
       float min_value;
       float max_value;
   };
   
   class ParameterState {
   public:
       void add_parameter(int id, float default_val, float min, float max);
       void set_value(int id, float value);
       float get_value(int id) const;
   
       // Serialization
       std::vector<uint8_t> serialize() const;
       bool deserialize(const std::vector<uint8_t>& data);
   
       // Presets
       void save_preset(const std::string& name);
       bool load_preset(const std::string& name);
   
   private:
       std::unordered_map<int, ParameterValue> parameters_;
       std::map<std::string, std::vector<uint8_t>> presets_;
   };
   

3. Component State (component_state.hpp)

   class ComponentState {
   public:
       // Generic state management
       void register_float_state(const std::string& key, float& variable);
       void register_int_state(const std::string& key, int& variable);
       void register_bool_state(const std::string& key, bool& variable);
   
       // Save/load
       std::string save_to_xml();
       std::string save_to_json();
       bool load_from_xml(const std::string& xml);
       bool load_from_json(const std::string& json);
   
   private:
       struct StateVariable {
           enum class Type { FLOAT, INT, BOOL };
           Type type;
           void* ptr;
       };
   
       std::map<std::string, StateVariable> state_variables_;
   };
   

4. DAW State Chunk (daw_state.hpp)

   // Compatible con DAWs (VST, AU, AAX)
   class DAWStateChunk {
   public:
       void set_parameter_state(const ParameterState& params);
       void set_component_state(const ComponentState& state);
   
       // DAW format
       std::vector<uint8_t> get_chunk() const;
       bool set_chunk(const std::vector<uint8_t>& chunk);
   
       // Versioning for backwards compatibility
       void set_schema_version(uint32_t version);
       bool is_compatible(uint32_t version) const;
   
   private:
       ParameterState params_;
       ComponentState state_;
       uint32_t schema_version_ = 1;
   };
   

5. State Diff (state_diff.hpp)

   // Para undo/redo systems
   class StateDiff {
   public:
       void capture_state(const ParameterState& state);
       ParameterState compute_diff(const ParameterState& new_state);
       ParameterState apply_diff(const ParameterState& base_state);
   
   private:
       struct ParameterChange {
           int id;
           float old_value;
           float new_value;
       };
   
       std::vector<ParameterChange> changes_;
   };
   

Testing Framework:

• Test: Serialization roundtrip (binary, XML, JSON)
• Test: Version compatibility (forward/backward)
• Test: Large state performance (<10ms save/load)
• Test: Diff computation correctness
• Test: DAW chunk format validation

Documentation:

• STATE_MANAGEMENT_GUIDE.md
• VERSIONING_STRATEGY.md
• DAW_INTEGRATION_GUIDE.md

Entregables:

• State serialization (binary, XML, JSON)
• Parameter state management
• DAW chunk format
• State diff for undo/redo
• 100% tests passing

Estimación: 2 semanas (1 dev)

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TAREA 4: Oversampling Pattern

Tier: 2 Archivos: 05_08_03_oversampling/

Core Implementation:

1. Oversampler Base (oversampler.hpp)

   enum class OversamplingFactor {
       X2,
       X4,
       X8,
       X16
   };
   
   class Oversampler {
   public:
       void set_factor(OversamplingFactor factor);
       void set_sample_rate(float sr);
   
       // Upsample input → process → downsample
       void process(const float* input, float* output, int num_samples,
                    std::function<void(float*, int)> process_fn);
   
   private:
       OversamplingFactor factor_ = OversamplingFactor::X2;
       float sample_rate_ = 48000.0f;
   };
   

2. FIR Oversampler (fir_oversampler.hpp)

   class FIROversampler : public Oversampler {
   public:
       void design_filter(float transition_bandwidth = 0.1f);
       void upsample(const float* input, float* output, int num_samples);
       void downsample(const float* input, float* output, int num_samples);
   
   private:
       std::vector<float> fir_coefficients_;
       std::vector<float> upsampled_buffer_;
       std::vector<float> state_;  // Filter state
   };
   

3. IIR Oversampler (iir_oversampler.hpp)

   // Más efficient que FIR para algunos casos
   class IIROversampler : public Oversampler {
   public:
       void design_elliptic_filter(float passband_ripple_db = 0.1f,
                                    float stopband_attenuation_db = 100.0f);
   
       void upsample(const float* input, float* output, int num_samples);
       void downsample(const float* input, float* output, int num_samples);
   
   private:
       struct BiquadSection {
           float b0, b1, b2, a1, a2;
           float z1 = 0.0f, z2 = 0.0f;
       };
   
       std::vector<BiquadSection> upsampling_filter_;
       std::vector<BiquadSection> downsampling_filter_;
       std::vector<float> upsampled_buffer_;
   };
   

4. Polyphase Oversampler (polyphase_oversampler.hpp)

   // Most efficient para real-time
   class PolyphaseOversampler : public Oversampler {
   public:
       void design_polyphase_filter(int num_taps_per_phase);
   
       void upsample(const float* input, float* output, int num_samples);
       void downsample(const float* input, float* output, int num_samples);
   
   private:
       int factor_ = 2;
       int num_phases_ = 2;
       std::vector<std::vector<float>> polyphase_filters_;
       std::vector<float> state_;
   };
   

5. Oversampling Utilities (oversampling_utils.hpp)

   namespace oversampling {
   
   // Design Butterworth lowpass
   std::vector<float> design_butterworth_lpf(int order, float cutoff_normalized);
   
   // Design Chebyshev Type I
   std::vector<float> design_chebyshev_lpf(int order, float cutoff, float ripple_db);
   
   // Measure aliasing
   float measure_aliasing(const float* signal, int length, float sample_rate);
   
   } // namespace
   

Testing Framework:

• Test: Aliasing suppression (>100dB @ Nyquist/2)
• Test: Frequency response (passband ±0.1dB)
• Test: Phase linearity (group delay variation)
• Test: Performance (CPU overhead <50%)
• Test: Roundtrip accuracy (input ≈ output sin processing)

Documentation:

• OVERSAMPLING_GUIDE.md - Cuándo y por qué oversample
• FILTER_DESIGN.md - FIR vs IIR vs Polyphase
• ALIASING_ANALYSIS.md - Análisis espectral

Examples:

// Example: Oversample distortion to reduce aliasing
PolyphaseOversampler oversampler;
oversampler.set_factor(OversamplingFactor::X4);
oversampler.design_polyphase_filter(64);

oversampler.process(input, output, num_samples, [&](float* buffer, int length) {
    // Process at 4x sample rate
    for (int i = 0; i < length; ++i) {
        buffer[i] = std::tanh(buffer[i] * drive);
    }
});

Entregables:

• FIR, IIR, Polyphase oversamplers
• 2x, 4x, 8x, 16x factors
• Filter design utilities
• Aliasing measurement tools
• 100% tests passing

Estimación: 2.5 semanas (1 dev)

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TAREA 5: Modulation Routing Pattern

Tier: 3 Archivos: 05_08_04_modulation_routing/

Core Implementation:

1. Modulation Matrix (mod_matrix.hpp)

   class ModulationMatrix {
   public:
       // Connect source to destination with depth
       void connect(int source_id, int dest_param_id, float depth);
       void disconnect(int source_id, int dest_param_id);
       void set_depth(int source_id, int dest_param_id, float depth);
   
       // Register modulation sources
       void register_source(int id, const std::string& name);
       void set_source_value(int id, float value);  // -1 to 1 or 0 to 1
   
       // Apply modulation
       float get_modulated_value(int param_id, float base_value);
   
   private:
       struct Connection {
           int source_id;
           int dest_param_id;
           float depth;
       };
   
       std::vector<Connection> connections_;
       std::unordered_map<int, float> source_values_;
       std::unordered_map<int, std::string> source_names_;
   };
   

2. Modulation Source (mod_source.hpp)

   class ModulationSource {
   public:
       virtual ~ModulationSource() = default;
       virtual float get_value() const = 0;
       virtual bool is_bipolar() const = 0;  // -1..1 vs 0..1
       virtual const char* get_name() const = 0;
   };
   
   // Common sources
   class LFOModSource : public ModulationSource {
   public:
       void set_lfo(LFO* lfo);
       float get_value() const override;
       bool is_bipolar() const override { return true; }
   };
   
   class EnvelopeModSource : public ModulationSource {
   public:
       void set_envelope(Envelope* env);
       float get_value() const override;
       bool is_bipolar() const override { return false; }  // 0..1
   };
   

3. Modulation Target (mod_target.hpp)

   struct ModulationRange {
       float min_value;
       float max_value;
       float skew_factor = 1.0f;  // Para mapeo logarítmico
   };
   
   class ModulationTarget {
   public:
       void set_base_value(float value);
       void set_range(const ModulationRange& range);
   
       float apply_modulation(float mod_amount);  // -1..1 or 0..1
   
   private:
       float base_value_ = 0.5f;
       ModulationRange range_{0.0f, 1.0f, 1.0f};
   
       float apply_skew(float normalized_value);
   };
   

4. Mod Matrix with Crossfading (crossfade_mod.hpp)

   class CrossfadingModMatrix : public ModulationMatrix {
   public:
       // Smooth parameter changes (no zippers)
       void set_connection_with_crossfade(int source_id, int dest_id, float new_depth, float fade_time_ms);
   
       void process_crossfades(int num_samples);
   
   private:
       struct CrossfadeState {
           float current_depth;
           float target_depth;
           ExponentialSmoother smoother;
       };
   
       std::map<std::pair<int,int>, CrossfadeState> crossfades_;
   };
   

5. Modulation Presets (mod_presets.hpp)

   struct ModulationPreset {
       std::string name;
       std::vector<Connection> connections;
   
       std::string to_json() const;
       static ModulationPreset from_json(const std::string& json);
   };
   
   class ModulationPresetBank {
   public:
       void add_preset(const ModulationPreset& preset);
       const ModulationPreset& get_preset(const std::string& name) const;
       void apply_preset(ModulationMatrix& matrix, const std::string& name);
   
   private:
       std::map<std::string, ModulationPreset> presets_;
   };
   

Testing Framework:

• Test: Connection routing correctness
• Test: Bipolar/unipolar mapping
• Test: Range mapping con skew
• Test: Crossfading smoothness
• Test: Many-to-many routing (8 sources → 32 destinations)

Documentation:

• MODULATION_GUIDE.md
• MOD_MATRIX_PATTERNS.md - Patrones comunes
• CROSSFADING_THEORY.md

Examples:

// Example: LFO modula filter cutoff
ModulationMatrix matrix;

// Register sources
matrix.register_source(0, "LFO 1");
matrix.register_source(1, "Envelope 1");

// Connect LFO → Cutoff con 50% depth
matrix.connect(0, PARAM_CUTOFF, 0.5f);

// Update en audio loop
lfo.process(buffer);
matrix.set_source_value(0, lfo.get_value());

float cutoff_base = 1000.0f;
float cutoff_modulated = matrix.get_modulated_value(PARAM_CUTOFF, cutoff_base);

Entregables:

• Modulation matrix (N→M routing)
• Source/target abstractions
• Crossfading support
• Preset system
• 100% tests passing

Estimación: 2 semanas (1 dev)

---

TAREA 6: MIDI Mapping Pattern

Tier: 3 Archivos: 05_08_05_midi_mapping/

Core Implementation:

1. MIDI Mapper (midi_mapper.hpp)

   class MIDIMapper {
   public:
       // Map MIDI CC to parameter
       void map_cc(int cc_number, int param_id);
       void unmap_cc(int cc_number);
   
       // Process MIDI messages
       void process_midi_message(const uint8_t* message, int length);
   
       // Get mapped parameter values (0-1 normalized)
       float get_parameter_value(int param_id) const;
   
       // MIDI learn mode
       void start_learn(int param_id);
       void stop_learn();
   
   private:
       struct CCMapping {
           int cc_number;
           int param_id;
           float current_value;  // 0-1
       };
   
       std::vector<CCMapping> mappings_;
       int learn_param_id_ = -1;
   };
   

2. MIDI CC Types (midi_cc_types.hpp)

   namespace midi {
   
   // Standard MIDI CC numbers
   enum class CC {
       MOD_WHEEL = 1,
       BREATH = 2,
       FOOT = 4,
       VOLUME = 7,
       PAN = 10,
       EXPRESSION = 11,
       SUSTAIN_PEDAL = 64,
       // ... more
   };
   
   // 14-bit CC support (CC #0-31 + 32-63)
   class HighResCC {
   public:
       void set_msb(uint8_t value);  // CC 0-31
       void set_lsb(uint8_t value);  // CC 32-63
       float get_normalized() const;  // 0-1, 14-bit precision
   
   private:
       uint8_t msb_ = 0;
       uint8_t lsb_ = 0;
   };
   
   } // namespace
   

3. Parameter Range Mapping (param_range.hpp)

   struct ParameterMapping {
       int param_id;
       float min_value;
       float max_value;
       float skew_factor = 1.0f;
       bool invert = false;
   };
   
   class ParameterRangeMapper {
   public:
       void set_mapping(int param_id, const ParameterMapping& mapping);
   
       // Convert MIDI (0-127) → Parameter value
       float midi_to_parameter(int param_id, uint8_t midi_value);
   
       // Convert Parameter → MIDI (for feedback)
       uint8_t parameter_to_midi(int param_id, float param_value);
   
   private:
       std::unordered_map<int, ParameterMapping> mappings_;
   };
   

4. MIDI Learn System (midi_learn.hpp)

   class MIDILearnSystem {
   public:
       void start_learning(int param_id);
       void cancel_learning();
   
       bool process_midi_message(const uint8_t* message, int length);
   
       // Get learned mapping
       struct LearnedMapping {
           int cc_number;
           int param_id;
           bool successful;
       };
       LearnedMapping get_last_learned() const;
   
   private:
       int learning_param_id_ = -1;
       LearnedMapping last_learned_;
   };
   

5. MIDI Mapping Presets (midi_presets.hpp)

   struct MIDIMappingPreset {
       std::string name;
       std::vector<std::pair<int, int>> cc_to_param;  // CC# → Param ID
   
       std::string to_json() const;
       static MIDIMappingPreset from_json(const std::string& json);
   };
   
   class MIDIMappingBank {
   public:
       void add_preset(const MIDIMappingPreset& preset);
       void apply_preset(MIDIMapper& mapper, const std::string& name);
   
       // Common presets
       static MIDIMappingPreset create_general_midi_preset();
       static MIDIMappingPreset create_mackie_control_preset();
   
   private:
       std::map<std::string, MIDIMappingPreset> presets_;
   };
   

Testing Framework:

• Test: CC mapping correctness (0-127 → 0-1)
• Test: 14-bit CC precision
• Test: Parameter range mapping con skew
• Test: MIDI learn workflow
• Test: Preset load/save

Documentation:

• MIDI_MAPPING_GUIDE.md
• MIDI_LEARN_TUTORIAL.md
• MIDI_CC_REFERENCE.md - Lista de CCs comunes

Examples:

// Example: Map mod wheel to filter cutoff
MIDIMapper mapper;
mapper.map_cc(1, PARAM_CUTOFF);  // CC #1 = Mod Wheel

// Process MIDI
uint8_t midi_msg[] = {0xB0, 0x01, 0x64};  // CC #1, value 100
mapper.process_midi_message(midi_msg, 3);

// Get parameter value (0-1)
float cutoff_normalized = mapper.get_parameter_value(PARAM_CUTOFF);

Entregables:

• MIDI CC → Parameter mapping
• 14-bit CC support
• MIDI learn system
• Mapping presets
• 100% tests passing

Estimación: 1.5 semanas (1 dev)

---

TAREA 7: Preset System Pattern

Tier: 4 Archivos: 05_08_06_preset_system/

Core Implementation:

1. Preset Data Structure (preset.hpp)

   struct Preset {
       std::string name;
       std::string author;
       std::string category;
       std::string description;
       std::vector<std::string> tags;
   
       std::map<int, float> parameter_values;
       std::vector<uint8_t> custom_state;  // Binary blob
   
       std::string to_json() const;
       static Preset from_json(const std::string& json);
   };
   

2. Preset Bank (preset_bank.hpp)

   class PresetBank {
   public:
       void add_preset(const Preset& preset);
       const Preset& get_preset(const std::string& name) const;
   
       // Search/filter
       std::vector<std::string> find_by_category(const std::string& category);
       std::vector<std::string> find_by_tag(const std::string& tag);
       std::vector<std::string> search(const std::string& query);
   
       // File I/O
       void load_from_directory(const std::filesystem::path& dir);
       void save_to_directory(const std::filesystem::path& dir);
   
   private:
       std::map<std::string, Preset> presets_;
   };
   

3. Preset Morphing (preset_morph.hpp)

   class PresetMorpher {
   public:
       void set_preset_a(const Preset& a);
       void set_preset_b(const Preset& b);
   
       // Morph factor: 0 = preset A, 1 = preset B
       Preset morph(float factor);
   
       // Animated morphing
       void start_morph(const Preset& target, float duration_seconds);
       void update(float delta_time);
       Preset get_current_preset() const;
   
   private:
       Preset preset_a_;
       Preset preset_b_;
       Preset current_;
       float morph_factor_ = 0.0f;
       float morph_duration_ = 0.0f;
       float morph_elapsed_ = 0.0f;
   };
   

4. Preset Randomizer (preset_randomizer.hpp)

   class PresetRandomizer {
   public:
       // Randomize all parameters
       Preset randomize_all(const Preset& base);
   
       // Randomize specific parameters
       Preset randomize_partial(const Preset& base, const std::vector<int>& param_ids);
   
       // Constrained randomization (keep some params fixed)
       void lock_parameter(int param_id);
       void unlock_parameter(int param_id);
   
       Preset generate_random();
   
   private:
       std::set<int> locked_params_;
       std::mt19937 rng_;
   };
   

5. Preset Favorites (preset_favorites.hpp)

   class PresetFavorites {
   public:
       void add_favorite(const std::string& preset_name);
       void remove_favorite(const std::string& preset_name);
       bool is_favorite(const std::string& preset_name) const;
   
       std::vector<std::string> get_favorites() const;
   
       // Persistence
       void save_to_file(const std::filesystem::path& path);
       void load_from_file(const std::filesystem::path& path);
   
   private:
       std::set<std::string> favorites_;
   };
   

Testing Framework:

• Test: Preset serialization (JSON roundtrip)
• Test: Bank search/filter correctness
• Test: Morph interpolation accuracy
• Test: Randomizer distribution uniformity
• Test: Favorites persistence

Documentation:

• PRESET_SYSTEM_GUIDE.md
• PRESET_FORMAT_SPEC.md - JSON schema
• MORPHING_GUIDE.md

Examples:

// Example: Load and apply preset
PresetBank bank;
bank.load_from_directory("presets/");

Preset lead_preset = bank.get_preset("Screaming Lead");

for (auto& [param_id, value] : lead_preset.parameter_values) {
    set_parameter(param_id, value);
}

Entregables:

• Preset data structures
• Preset bank (search, filter)
• Preset morphing
• Randomizer
• Favorites system
• 100% tests passing

Estimación: 1.5 semanas (1 dev)

---

TAREA 8: Integration Testing & Documentation

Tier: 4 Archivos: 05_08_test_integration/, 05_08_documentation/

Integration Tests:

1. End-to-End Pattern Composition

   TEST_CASE("Complete workflow: Smoothing + Modulation + MIDI") {
       // Setup
       MultiParameterSmoother smoother;
       ModulationMatrix mod_matrix;
       MIDIMapper midi_mapper;
   
       // Configure
       smoother.add_parameter(PARAM_CUTOFF, SmootherType::EXPONENTIAL);
       mod_matrix.register_source(0, "LFO 1");
       midi_mapper.map_cc(1, PARAM_CUTOFF);
   
       // Process
       // 1. MIDI updates base value
       // 2. Modulation applies LFO
       // 3. Smoothing prevents zippers
   
       // Verify
       REQUIRE(output_is_smooth());
       REQUIRE(no_zipper_noise());
   }
   

2. Performance Benchmarks

   void benchmark_all_patterns() {
       // Parameter smoothing overhead
       benchmark_smoother();  // Target: <0.1% CPU
   
       // Oversampling overhead
       benchmark_oversampler();  // Target: <50% for 4x
   
       // Modulation matrix
       benchmark_mod_matrix();  // Target: <1% CPU para 8x32 matrix
   
       // MIDI mapper
       benchmark_midi_mapper();  // Target: <0.01% CPU
   }
   

Documentation:

1. Pattern Catalog (PATTERN_CATALOG.md)
2. Descripción de cada pattern
3. Cuándo usar cada uno
4. Casos de uso comunes

5. Antipatterns a evitar

6. Integration Guide (INTEGRATION_GUIDE.md)

7. Cómo combinar patterns
8. Best practices

9. Performance considerations

10. Examples Collection

11. 10+ ejemplos completos
12. Simple synth usando todos los patterns
13. Effect processor con oversampling + modulation
14. MIDI-controlled filter con smoothing

Entregables:

• 20+ integration tests
• Performance benchmarks
• Pattern catalog
• Integration guide
• 10+ examples

Estimación: 1 semana (1 dev)

---

RESUMEN DE ESTIMACIONES

Tier	Tareas	Tiempo (secuencial)	Tiempo (paralelo 2 devs)
1	1 (Base)	2 semanas	2 semanas
2	3 (Core Patterns)	6 semanas	3 semanas
3	2 (Routing)	3.5 semanas	2 semanas
4	2 (High-level)	2.5 semanas	1.5 semanas
TOTAL	8 tareas	16 semanas	8 semanas

---

MÉTRICAS DE ÉXITO

Métrica	Target	Medición
Parameter Smoothing	Zipper noise <-100dB	Spectral analysis
Oversampling	Aliasing suppression >100dB	Spectral analysis
Modulation Matrix	<1% CPU (8x32 matrix)	Profiling
MIDI Mapper	Latency <1ms	Timing tests
Test Coverage	>95%	gcov/lcov
Documentation	100% patterns documented	Review

---

DEPENDENCIAS CRÍTICAS

TIER 1 (Base Infrastructure)
    ↓
TIER 2 (Core Patterns: Smoothing, State, Oversampling) ← Can run in parallel
    ↓
TIER 3 (Routing: Modulation, MIDI) ← Can run in parallel
    ↓
TIER 4 (High-level: Presets, Documentation)

---

CONEXIONES CON OTROS SUBSISTEMAS

Consume: - 05_04_KERNELS_L0 - Math primitives (filters, conversions) - 05_07_ATOMS_L1 - Processor interface

Usado por (critical cross-cutting): - 05_07_ATOMS_L1 - Atoms usan smoothing, state management - 05_10_CELLS_L2 - Cells usan modulation, presets - 05_13_ENGINES_L3 - Engines usan oversampling, MIDI

Integra con: - 05_14_PRESET_SYSTEM - Global preset management - 05_09_FACTORY_SYSTEM - Pattern instantiation

---

NOTAS FINALES

05_08_COMPONENT_PATTERNS es infraestructura crítica compartida por todos los componentes DSP. Invertir aquí evita duplicación de código y asegura consistencia en calidad y performance.

ROI Esperado: - Dev time savings: 30% reduction (no re-implement smoothing, oversampling, etc.) - Quality improvement: Consistent behavior across all components - Maintenance: Fix bugs once, benefits all components

Próximos pasos: Una vez completado 05_08, continuar con 05_09_FACTORY_SYSTEM o 05_10_CELLS_L2.

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Documento creado: 2025-10-10 Versión: 1.0 Autor: AudioLab Architecture Team Estado: 🔄 READY FOR IMPLEMENTATION