Signal Processing Toolbox

If You Are a New User

Begin with Chapter 1, "Signal Processing Basics." This chapter introduces the MATLAB signal processing environment through the toolbox functions. It describes the basic functions of the Signal Processing Toolbox, reviewing its use in basic waveform generation, filter implementation and analysis, impulse and frequency response, zero-pole analysis, linear system models, and the discrete Fourier transform.

When you feel comfortable with the basic functions, move on to Chapter 2 and Chapter 3 for a more in-depth introduction to using the Signal Processing Toolbox:

• Chapter 2, Filter Design, for a detailed explanation of using the Signal Processing Toolbox in infinite impulse response (IIR) and finite impulse response (FIR) filter design and implementation, including special topics in IIR filter design.
• Chapter 3, Statistical Signal Processing, for how to use the correlation, covariance, and spectral analysis tools to estimate important functions of discrete random signals.

Once you understand the general principles and applications of the toolbox, learn how to use the interactive tools:

• Chapter 5, Filter Design and Analysis Tool, and Chapter 6, SPTool: A Signal Processing GUI Suite, for an overview of the interactive GUI environments and examples of how to use them for signal exploration, filter design and implementation, and spectral analysis.

Finally, see the following chapter:

• Chapter 4, Special Topics, for specialized functions, including filter windows, parametric modeling, resampling, cepstrum analysis, time-dependent Fourier transforms and spectrograms, median filtering, communications applications, deconvolution, and specialized transforms.

How to Use This Manual

If You Are an Experienced Toolbox User