Signal Processing Toolbox 6.11

Product Description

• Signal Processing Toolbox Key Features
• Signal and Linear System Models
• Digital Filter Design Methods
• Transforms
• Spectral Analysis Tools
• GUIs for Filter Design, Analysis, and Visualization

Introduction

Signal Processing Toolbox is a collection of industry-standard algorithms for analog and digital signal processing. The Signal Processing Toolbox also provides graphical user interfaces 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.



The magnitude response of a lowpass filter, designed in the Filter Design and Analysis Tool (top), and a print preview of the filter's response, created in the Filter Visualization Tool (bottom). Click on image to see enlarged view.

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 visualizing signals, filters, and windows