Karplus-Strong revisited and the DTFT

Related lectures (32)

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Explores sinc interpolation and the spectral representation of interpolated signals based on the chosen interpolation period.

Explores DTFT properties, frequency response analysis, and the ideal low-pass filter in signal processing.

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Covers the concept of difference equations and properties of causal vs. stable systems.

Explores the existence and properties of the Discrete-Time Fourier Transform (DTFT), including inversion, basis change, and key properties.

Covers examples of frequency response analysis, including phase analysis, linear phase, and Karplus-Strong algorithm.

Explores image restoration and signal prediction using linear filters in signal processing.

Explains geometric response in LTI systems and its relationship with impulse response.

Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.