Contents

Index

• Getting Started

• Signal Sources

• Performance Evaluation

• Error Rate Test Console

• BERTool: A Bit Error Rate Analysis GUI

• Source Coding

• Quantizing a Signal

Section Overview

Representing Partitions

Representing Codebooks

Scalar Quantization Example 1

Scalar Quantization Example 2

Determining Which Interval Each Input Is In

• Optimizing Quantization Parameters

Section Overview

Example: Optimizing Quantization Parameters

• Differential Pulse Code Modulation

Section Overview

DPCM Terminology

Representing Predictors

Example: DPCM Encoding and Decoding

• Optimizing DPCM Parameters

Section Overview

Example: Comparing Optimized and Nonoptimized DPCM Parameters

• Companding a Signal

Section Overview

Example: µ-Law Compander

• Huffman Coding

Section Overview

Creating a Huffman Code Dictionary

Example: Creating and Decoding a Huffman Code

• Arithmetic Coding

Section Overview

Representing Arithmetic Coding Parameters

Example: Creating and Decoding an Arithmetic Code

Selected Bibliography for Source Coding

• Error Detection and Correction

• Interleaving

• Special Filters

• Galois Field Computations

• EyeScope: An Eye Diagram Analysis Tool

• Galois Fields of Odd Characteristic

• Analytical Expressions Used in berawgn, bercoding, berfading, and BERTool

• Release Notes

Learn more about Communications Toolbox

Source Coding

Source coding, also known as quantization or signal formatting, is a way of processing data in order to reduce redundancy or prepare it for later processing. Analog-to-digital conversion and data compression are two categories of source coding.

This chapter describes the source coding features of Communications Toolbox software in the sections listed below.

This toolbox does not support vector quantization.

Managing BER Data

Managing BER Data

Quantizing a Signal

Quantizing a Signal

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