Signal Processing Toolbox
The Signal Processing Toolbox is a collection
of industry-standard algorithms
for analog and digital signal processing. It
provides graphical user interfaces (GUIs)
for interactive design and analysis and
command-line functions for advanced
algorithm development.
Most toolbox functions are implemented in
the open MATLAB® language. This means
that you can inspect the algorithms, modify
the source code, and create your own
custom functions. You can use the toolbox
for applications such as speech and audio
processing, wired and wireless communications,
financial modeling and analysis, and
medical imaging and instrumentation.
Signal and Linear System Models
The Signal Processing Toolbox provides
a broad range of models for representing
signals and linear time-invariant systems,
including representations for transfer functions,
state space, and zero-pole gain. The
toolbox also includes functions for transforming
models from one representation to
another.
Digital Filter Design Methods
A full suite of design methods is available
for finite impulse response (FIR) and infinite
impulse response (IIR) digital filters.
These methods support the rapid design and
evaluation of lowpass, highpass, bandpass,
bandstop, and multiband filters, such as
Butterworth, Chebyshev, elliptic, Yule-Walker,
window-based, least squares, and Parks-
McClellan (real and complex). Available filter
structures include the direct forms I and II,
lattice, lattice-ladder, and second-order sections
No comments:
Post a Comment