BE 515 Biomedical Signal Processing
Provides a comprehensive treatment of signal processing techniques used in biomedical applications. Discusses fundamentals of digital signals and systems; covers classical spectral estimation techniques, including discrete Fourier transform, periodogram and Blackman-Tukey method, and cepstrum method. Covers adaptive filters such as the adaptive noise cancelling method and adaptive zero tracking; discusses modern signal processing methods such as autoregressive (AR), autoregressive moving average (ARMA), the Prony method, and neural networks and wavelets. Introduces and explores numerous biomedical examples.