ECE 431 Digital Signal Processing Lecture Notes

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ECE 431Digital Signal ProcessingLecture NotesProf. Dan CobbContents1 Introduction22 Review of the DT Fourier De nition and Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Periodic Convolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fourier Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Time and Frequency Domain Analysis . . . . . . . . . . . . . . . . . . . . . . . . . Aliasing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Nyquist Theorem.

Digital Signal Processing (DSP) is the application of a digital computer to modify an analog or digital signal. Typically, the signal beingprocessedis eithertemporal, spatial, orboth. For example, an audio signal is temporal, while an image is …

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