Introduction (DSP Blockset)

DSP Blockset

How to Use This Guide

This book contains tutorial sections that are designed to help you become familiar with using Simulink and the DSP Blockset, as well as a reference section for finding detailed information on particular blocks in the blockset.

Read Chapter 2 of this guide, "Simulink and the DSP Blockset," to get an overview of fundamental Simulink and DSP Blockset concepts. Also see Using Simulink for more information on the Simulink environment.
Read Chapter 3 of this guide, "Using the DSP Blockset," for details on key operations common to many signal processing tasks, and a discussion of block applications.
Read Chapter 4, "DSP Block Reference," for a description of each block's operation, parameters, and characteristics.
Read the "DSP Blockset" sections of Release 11 New Features and Known Software and Documentation Problems to learn about enhancements made to the blockset in the current version.

Use this guide in conjunction with the software to learn about the powerful features that the DSP Blockset provides.

Technical Conventions

Vectors. In this book, and in the block dialog boxes, the terms width and length are used interchangeably to describe the size of a vector, buffer, or frame:

u = [1 2 3 4 5]      % a vector of length N=5
u = 1:25             % a buffer of width 25
u = [1:64]'          % a length-64 frame

When a vector represents a frame of data (frame vector), it is usually shown as a column vector with the most recent sample in the last position, u(end). When a vector represents data from multiple channels (sample vector), it is usually shown as a row vector with the first channel in the leftmost position, u(1).

See "Understanding Matrices" and "Understanding Samples and Frames" in Chapter 2 for more information about these different representations.

Matrices. Matrix dimensions are described in terms of the number of rows and the number of columns of the matrix:

u = [1 2 3;4 5 6]        % a 2-by-3 matrix

The number of channels in a frame-based matrix is the number of columns.

Arrays. The number of pages of a three-dimensional array (in the MATLAB workspace) refers to the size of its third dimension:

A(:,:,1) = [1 2 3;4 5 6]     % the first page of a 3-page array
A(:,:,2) = [7 8 9;0 1 2]     % the second page
A(:,:,3) = [3 4 5;6 7 8]     % the last page

Important sampling-related notational conventions are listed in "Understanding Sample Rates" in Chapter 2.

Typographical Conventions

To Indicate
This Manual Uses
Example

Example code
Monospace type
To assign the value 5 to A, enter
A = 5

MATLAB output
Monospace type
MATLAB responds with
A = 5

Function names
Monospace type
The cos function finds the cosine of each array element.

New terms
Italics
An array is an ordered collection of information.

Keys
Boldface with an initial capital letter
Press the Return key.

Menu names, items, and GUI controls
Boldface with an initial capital letter
Choose the File menu.

Mathematical
expressions
Variables in italics. Functions, operators, and constants in standard type.
This vector represents the polynomial
p = x² + 2x + 3

To Indicate	This Manual Uses	Example
Example code	`Monospace type`	To assign the value 5 to `A`, enter A = 5
MATLAB output	`Monospace type`	MATLAB responds with A = 5
Function names	`Monospace type`	The `cos` function finds the cosine of each array element.
New terms	Italics	An array is an ordered collection of information.
Keys	Boldface with an initial capital letter	Press the Return key.
Menu names, items, and GUI controls	Boldface with an initial capital letter	Choose the File menu.
Mathematical expressions	Variables in italics. Functions, operators, and constants in standard type.	This vector represents the polynomial `p = x² + 2x + 3`

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