Signal Processing Toolbox

Signal Processing Basics

The following chapter describes how to begin using MATLAB^®and the Signal Processing Toolbox for your signal processing applications. It is assumed that you have basic knowledge and understanding of signals and systems, including such topics as filter and linear system theory and basic Fourier analysis.

What Is the Signal Processing Toolbox?	Major features and key areas of the toolbox
Representing Signals	Vector and matrix represtation of signals
Waveform Generation: Time Vectors and Sinusoids	Periodic and aperiodic waveforms, sequences (impulse, step, ramp), multichannel signals, pulse trains, sinc and Dirichlet functions
Working with Data	Methods of inputting and importing data
Filter Implementation and Analysis	Filtering discrete signals
The filter Function	Mathemetical information on the filter function
Other Functions for Filtering	Other types of filter functions available in the toolbox
Impulse Response	Impulse response details
Frequency Response	Frequency response details
Zero-Pole Analysis	Z-plane poles and zeros
Linear System Models	Discrete-time and continuous-time linear system models and transformations
Discrete Fourier Transform	DFT details
Selected Bibliography	Sources for additional information

User's Guide What Is the Signal Processing Toolbox?