Some labs will be held the SPHS computer cluster. Course Description Digital signal processing is a branch of applied mathematics that permits the manipulation of digital audio and video signals such as those found in multi-media applications. This course will emphasize digital audio, as it applies to speech processing. The course is oriented towards persons without engineering backgrounds who are interested in learning the underlying mathematics of digital signal processing. Applications will include speech analysis and synthesis, and signal processors for cochlear implants.
Course is project oriented, including programs, labs and a final project.
Complex numbers, discrete systems and Fourier Transforms and Z-transforms. Digital filter structures, recursive and non- recursive filter design. The DSP of speech will include LPC, Cepstrum, speech synthesis, and auditory filtering. Laboratories using Matlab will be required.