Specifications

Signal Processing Toolbox 6
Perform signal processing, analysis, and algorithm development
KEY FEATURES
■ Comprehensive set of signal and linear system models
■ Tools for finite impulse response (FIR) and infinite impulse
response (IIR) digital filter design, analysis, and implementation
■ Tools for analog filter design
■ Access to the most widely used transforms, such as fast Fourier
and discrete cosine
■ Tools for spectral analysis and statistical signal processing
■ Functions for parametric time-series modeling
■ Routines for waveform generation, including a Gaussian pulse
generator, a periodic sinc generator, and a pulse train generator
■ Extensive data windowing algorithms
■ Graphical user interfaces for designing, analyzing, and visual-
izing signals, filters, and windows
For demos, application examples,
tutorials, user stories, and pricing:
• Visit www.mathworks.com
• Contact The MathWorks directly
US & Canada 508-647-7000
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France [phone]
Germany [phone]
Italy [phone]
Korea [phone]
Spain [phone]
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UK [phone]
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contact information for authorized
MathWorks representatives in countries
throughout Asia Pacific, Latin America,
the Middle East, Africa, and the rest
of Europe.
The Signal Processing Toolbox is a col-
lection 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 communica-
tions, financial modeling and analysis, and
medical imaging and instrumentation.
The magnitude response of a lowpass filter, designed in the Filter
Design and Analysis Tool (left), and a print preview of the filter’s
response (above), created in the Filter Visualization Tool.