The course focuses on fundamentals of digital signal processing.  Fast algorithms for convolution and Fourier transformation, design of recursive and non-recursive digital filters, efficient computational graph representations for filters, data-adaptive filtering, multirate signal processing, theory of filter banks, efficient data representations with filter banks, connection to wavelet representations,  sub-Nyquist sampling, transform coding,   subband coding,  quantization for data compression, and optimal subband/transform coders. Offered alternate years; not offered 2026-27.