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R2011b Documentation → Signal Processing Toolbox
View documentation for other releases	Learn more about Signal Processing Toolbox

Contents

Index

• Getting Started

• Product Overview

Product Summary

Command-Line Functions and Objects

Graphical User Interfaces

Supported Data Types

• Key Features

Analog filter design methods, including Butterworth, Chebyshev, and Bessel

Digital FIR and IIR filter design, analysis, and implementation methods

Signal and linear system models

Signal transforms, including fast Fourier transform (FFT), discrete Fourier transform (DFT). and short-time Fourier transform (STFT)

Power spectral density estimation algorithms, including periodogram, Welch, and Yule-Walker

Statistical signal processing and data windowing functions

Linear prediction and parametric time-series modeling

Waveform and pulse generation functions, including sine, square, sawtooth, and Gaussian pulse

Interactive Tools

• Extensibility

Expanding the Toolbox

Expanding the Toolbox with Other Toolboxes

Finding More Information

• Basic Signal Processing Concepts

• Representing Signals

Vector Representation

• Waveform Generation: Time Vectors and Sinusoids

Common Sequences: Unit Impulse, Unit Step, and Unit Ramp

Multichannel Signals

Common Periodic Waveforms

Common Aperiodic Waveforms

The pulstran Function

The Sinc Function

The Dirichlet Function

• Working with Data

Importing Data from Within the MATLAB Environment

Importing Data from Outside the MATLAB Environment

Converting Data into a MAT-File

Selected Bibliography

• Design a Filter with fdesign and filterbuilder

Filter Design Process Overview

Basic Filter Design Process

Design a Filter Using filterbuilder

• Filter Design with the FDATool GUI

Designing the Filter

Analyzing the Filter

Designing Additional Filters

• Viewing and Annotating the Filter

Viewing the Filter in FVTool

Using FVTool for Annotation

• Exporting Filters from FDATool

Filtering with dfilt

Designing Filters Using Command Line Functions

Where to Find More Information

• Spectral Analysis

• Introduction

Spectral Estimators

Spectral Analysis Algorithms

Spectral Analysis Objects

Creating a Spectral Analysis Object

Producing a PSD Estimate

• Changing Spectral Analysis Object Property Values

Using the set command to Set Property Values

Using Options Objects to Set Property Values

Measuring Signal Power

• User's Guide

• Release Notes

Getting Started

Overview	Summary information about Signal Processing Toolbox software
Basic Signal Processing Concepts	Basic signals, waveform generation, and working with data in MATLAB and Signal Processing Toolbox products
Design a Filter with fdesign and filterbuilder	Describes an easy design process for a simple filter
Filter Design with the FDATool GUI	Designing a filter using the FDATool GUI
Spectral Analysis	Using toolbox commands for spectral analysis

Overview

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