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R2012a Documentation → Signal Processing Toolbox
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Contents

Index

• Getting Started

• Product Description

Interactive Tools

• Extensibility

Expanding the Toolbox

Expanding the Toolbox with Other Toolboxes

Finding More Information

• 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

Filter Design Process Overview

Basic Filter Design Process

Design a Filter Using filterbuilder

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

• 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

Statistical Signal Processing

The following chapter discusses statistical signal processing tools and applications, including correlations, covariance, and spectral estimation.

Saving and Opening Filter Design Sessions

Saving and Opening Filter Design Sessions

Correlation and Covariance

Correlation and Covariance

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