User`s guide

4 DSP Operations
4-24
DSP Blockset Demos Overview
You can access the DSP Blockset demos by typing
demos
at the MATLAB command line. In the Demos window that opens, expand the
Blocksets entry by double-clicking, and then click DSP to see the demos.
Explore all the demos to see how you can implement both basic and advanced
DSP algorithms with the DSP Blockset. You can also use the demos as a base
for building your own models. Simply select the section of the demo that you
want to build on and copy it into your own model.
The available demos are listed below by category.
Adaptive Processing Demos
•Equalization: Demonstrates adaptive channel equalization by using the
LMS algorithm to adaptively compute an estimate of an FIR equalization
filter.
•Noise canceller (using either LMS or RLS): These demos use either the LMS
or RLS algorithm to subtract noise from an input signal.
•Linear prediction: Uses the LMS adaptive FIR algorithm to adaptively
compute the linear prediction coefficients for a noisy input signal.
•Time-delay estimation: Uses the LMS adaptive FIR algorithm to adaptively
estimate the time delay for a noisy input signal.
•Tracking filter: Uses a Kalman filter to track the time-varying weights of a
nonstationary fifth order FIR filter.
Audio Processing Demos
•Dynamic range compression: Compresses the dynamic range of a signal by
modifying the range of the magnitude at each frequency bin. This nonlinear
spectral modification is followed by an overlap-add FFT algorithm for
reconstruction.
•Flanging: Introduces a “flanging” effect into a short segment of music.
•Reverberation: Uses the Integer Delay block to demonstrate the popular
reverberation audio effect.