Signal Processing

Digital Signal Processing (DSP) is at the core of my research and creative practice. This section explores algorithms for spectral transformation, real-time pitch detection, and advanced sound synthesis techniques.

Spectral Morphing

Techniques for interpolating between distinct sonic textures using spectral envelopes.

Polyphonic Pitch Detection

Real-time analysis specifically optimized for the unique harmonic profile of the guitar.

Sound Synthesis

Explorations into additive, subtractive, and physical modeling synthesis methods.

Methodology

Most of these implementations are developed using a combination of C++, Python, and specialized environments like SuperCollider or Max/MSP, focusing on low-latency performance for live artistic applications.

// Conceptual FFT Windowing
void processFrame(float* buffer, int size) {
    applyHanningWindow(buffer, size);
    fft.execute(buffer);
}

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