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Introduction to Music and Digital Signal Processing -
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Time domain- basic acoustics, and psychoacoustics, sampling, aliasing, bit resolution
- amplitdue, loudness, decibels, Fletcher-Munson curves, pitch, frequency, quantization
- windowing, envelopes, compression, AM
- decimation, up-sampling, pitch shifting
- granular synthesis, Euler identity, complex numbers
- FM, difference equations, autocorreclation, cross-correlation, pitch detection, zero-crossing
- LTI systems, convolution, impulse reponse, FIR/IIR filters
- z transform
- subtractive synthesis, comb filters, plucked strings and physical modeling etc.
- FT, DFT, FFT, STFT, zero padding, Nyquist revisited
- spectral analysis, salient feature extraction, harmonics, etc.
- vocoders, channel vocoder, phase vocoder, LPC
- pitch shifting, time-stretching etc.
- Timbre
- Neural networks
- mp3, data hiding, masking, critical bandwidth etc.
