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Signal Processing In MATLAB

Why is MATLAB such an ideal environment for signal processing? Signals are naturally represented as a sequence of numbers stored as a vector, MATLAB's most natural data type. Also, two of the most fundamental algorithms for signal processing, the FFT and the digital filtering operation, are not M-files at all; they are written in C, built-in to MATLAB for the fastest possible execution. Using the vectorized syntax of MATLAB along with a few of the many powerful functions provided, it may take just a few lines of elegant MATLAB code to implement several pages of the equivalent code in other languages like C and FORTRAN.

This course presents the beauty and the basics of signal processing in MATLAB. Also presented are some of the little known new features in MATLAB 5 and the most recent Signal Processing Toolbox. Tools which allow you to make the most of MATLAB's matrix oriented, interpreted language will be highlighted.

Course Outline:

1. Built-in MATLAB support for Signal Processing
   • signal and filter representations as vectors
   • filter
   • fft
2. What the Signal Processing Toolbox has to offer
   • filter design
   • spectral analysis
   • parametric modeling
   • graphic user interface
   • other miscellany
3. Some new MATLAB 5 Signal Processing features
   • filter - array inputs
   • fftn - n-dimensional fft
   • upfirdn - efficient multirate filterbank implementation

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