This book is a tutorial on digital techniques for waveform generation, digital filters, and digital signal processing tools and techniques.
The typical chapter begins with some theoretical material followed by working examples and experiments using the TMS320C6713-based DSPStarter Kit (DSK).
The C6713 DSK is TI's newest signal processor based on the C6x processor (replacing the C6711 DSK).
This course manual teaches you how to use LabVIEW to develop test
and measurement, data acquisition, instrument control, datalogging,
measurement analysis, and report generation applications. This course
manual assumes that you are familiar with Windows, Macintosh, or UNIX
and that you have experience writing algorithms in the form of flowcharts
or block diagrams.
Begin with Chapter 1, “Signal Processing Basics.” This chapter introduces the
MATLAB signal processing environment through the toolbox functions. It
describes the basic functions of the Signal Processing Toolbox, reviewing its use
in basic waveform generation, filter implementation and analysis, impulse and
frequency response, zero-pole analysis, linear system models, and the discrete
In the nineteenth century, scientists, mathematician, engineers and innovators started
investigating electromagnetism. The theory that underpins wireless communications was
formed by Maxwell. Early demonstrations took place by Hertz, Tesla and others. Marconi
demonstrated the first wireless transmission. Since then, the range of applications has
expanded at an immense rate, together with the underpinning technology. The rate of
development has been incredible and today the level of technical and commercial maturity
is very high.
The Signal Processing Toolbox is a collection of tools built on the MATLAB®
numeric computing environment. The toolbox supports a wide range of signal
processing operations, from waveform generation to filter design and
implementation, parametric modeling, and spectral analysis. The toolbox
provides two categories of tools:
Inﬁnite Impulse Response Filters
• • • •
Inﬁnite impulse response ﬁlter structures: direct form I, direct form II, cascade, and parallel Bilinear transformation for ﬁlter design Sinusoidal waveform generation using difference equation Filter design and utility packages Programming examples using TMS320C6x and C code
The ﬁnite impulse response (FIR) ﬁlter discussed in Chapter 4 has no analog counterpart. In this chapter we discuss the inﬁnite impulse response (IIR) ﬁlter that makes use of the vast knowledge already acquired with analog ﬁlters.
Infinite Impulse Response Filters
Infinite impulse response filter structures: direct form I, direct form II, cascade, and parallel Bilinear transformation for filter design Sinusoidal waveform generation using difference equation Filter design and utility packages Programming examples using TMS320C3x and C code The finite impulse response (FIR) filter discussed in the previous chapter has no analog counterpart.
Digital signal processing (DSP) covers a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices....
Some basic concepts of analogue signals are introduced in this section. You will learn the basic functions of an analogue electronic system, viz. transformation and generation of signals of continuous nature. Here, signal transformation refers to all kinds of manipulation such as filtering (selecting signals of a certain range of frequencies) and amplification (enlarging the magnitude of a signal). Signal generation in the context of analogue electronics can be taken to mean the construction of a signal with a specified waveform, as in the case of a sinusoidal wave generator.
The objectives of this laboratory are: 1. To introduce the spectrum analyzer as used in frequency domain analysis. 2. To identify various types of linear modulated waveforms in time and frequency domain representations. 3. To implement theoretically functional circuits using the Communications Module Design System (CMDS).
1. PC with Matlab and Simulink
Spectrum Analyzer and Function Generator.
This section deals with looking at the spectrum of simple waves. We first look at the spectrum of a simple sine wave.