| Signal Processing Toolbox | |
Signal Processing Toolbox Central Features
The Signal Processing Toolbox functions are algorithms, expressed mostly in M-files, that implement a variety of signal processing tasks. These toolbox functions are a specialized extension of the MATLAB computational and graphical environment.
Filtering and FFTs
Two of the most important functions for signal processing are not in the Signal Processing Toolbox at all, but are built-in MATLAB functions:
filter applies a digital filter to a data sequence.
fft calculates the discrete Fourier transform of a sequence.
The operations these functions perform are the main computational workhorses of classical signal processing. Both are described in this chapter. The Signal Processing Toolbox uses many other standard MATLAB functions and language features, including polynomial root finding, complex arithmetic, matrix inversion and manipulation, and graphics tools.
Signals and Systems
The basic entities that toolbox functions work with are signals and systems. The functions emphasize digital, or discrete, signals and filters, as opposed to analog, or continuous, signals. The principal filter type the toolbox supports is the linear, time-invariant digital filter with a single input and a single output. You can represent linear time-invariant systems using one of several models (such as transfer function, state-space, zero-pole-gain, and second-order section) and convert between representations.
| | Signal Processing Basics | Key Areas: Filter Design and Spectral Analysis | |