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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.
    Frequency domain
    • 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.
    Other topics
    • Timbre
    • Neural networks
    • mp3, data hiding, masking, critical bandwidth etc.