| DSP Blockset | ![]() |
Parametric Estimation
The Parametric Estimation library provides a number of methods for modeling a signal as the output of an AR system. The methods include the Burg AR Estimator, Covariance AR Estimator, Modified Covariance AR Estimator, and Yule-Walker AR Estimator, which allow you to compute the AR system parameters based on forward error minimization, backward error minimization, or both.
In the Comparison of Spectral Analysis Techniques demo (dspsacomp), a Gaussian noise sample is being filtered by an IIR all-pole filter. Three different blocks, each with its own method, are estimating the spectrum of the IIR filter. You can view the results on a Vector Scope block.
| Linear Algebra | Real-Time Code Generation | ![]() |
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