larbisoft

17-06-2008, 06:47 PM

السلام عليكم

كتاب

Digital signal processing (DSP)

http://img300.imageshack.us/img300/171/61325304cm7.png

كتاب: Digital signal processing (DSP)

بسم الله الرحمن الرحيم

السلام عليكم

كتاب

Digital signal processing (DSP)

Preface

Digital signal processing (DSP) is concerned with the representation of signals in digital form, and

with the processing of these signals and the information that they carry. Although DSP, as we know

it today, began to flourish in the 1960's, some of the important and powerful processing techniques

that are in use today may be traced back to numerical algorithms that were proposed and studied

centuries ago. Since the early 1970's, when the first DSP chips were introduced, the field of digital

signal processing has evolved dramatically. With a tremendously rapid increase in the speed of DSP

processors, along with a corresponding increase in their sophistication and computational power,

digital signal processing has become an integral part of many commercial products and applications,

and is becoming a commonplace term.

This book is concerned with the fundamentals of digital signal processing, and there are two ways

that the reader may use this book to learn about DSP. First, it may be used as a supplement to any

one of a number of excellent DSP textbooks by providing the reader with a rich source of worked

problems and examples. Alternatively, it may be used as a self-study guide to DSP, using the method

of learning by example. With either approach, this book has been written with the goal of providing

the reader with a broad range of problems having different levels of difficulty. In addition to

problems that may be considered drill, the reader will find more challenging problems that require

some creativity in their solution, as well as problems that explore practical applications such as

computing the payments on a home mortgage. When possible, a problem is worked in several

different ways, or alternative methods of solution are suggested.

The nine chapters in this book cover what is typically considered to be the core material for an

introductory course in DSP. The first chapter introduces the basics of digital signal processing, and

lays the foundation for the material in the following chapters. The topics covered in this chapter

include the description and characterization of discrete-type signals and systems, convolution, and

linear constant coefficient difference equations. The second chapter considers the represention of

discrete-time signals in the frequency domain. Specifically, we introduce the discrete-time Fourier

transform (DTFT), develop a number of DTFT properties, and see how the DTFT may be used to

solve difference equations and perform convolutions. Chapter 3 covers the important issues

associated with sampling continuous-time signals. Of primary importance in this chapter is the

sampling theorem, and the notion of aliasing. In Chapter 4, the z-transform is developed, which is

the discrete-time equivalent of the Laplace transform for continuous-time signals. Then, in Chapter

5, we look at the system function, which is the z-transform of the unit sample response of a linear

shift-invariant system, and introduce a number of different types of systems, such as allpass, linear

phase, and minimum phase filters, and feedback systems.

The next two chapters are concerned with the Discrete Fourier Transform (DFT). In Chapter 6, we

introduce the DFT, and develop a number of DFT properties. The key idea in this chapter is that

multiplying the DFTs of two sequences corresponds to circular convolution in the time domain.

Then, in Chapter 7, we develop a number of efficient algorithms for computing the DFT of a finitelength

sequence. These algorithms are referred to, generically, as fast Fourier transforms (FFTs).

Finally, the last two chapters consider the design and implementation of discrete-time systems. In

Chapter 8 we look at different ways to implement a linear shift-invariant discrete-time system, and

look at the sensitivity of these implementations to filter coefficient quantization. In addition, we

analyze the propagation of round-off noise in fixed-point implementations of these systems. Then, in

Chapter 9 we look at techniques for designing FIR and IIR linear shiftinvariant filters. Although the

primary focus is on the design of low-pass filters, techniques for designing other frequency selective

filters, such as high-pass, bandpass, and bandstop filters are also considered.

تحميــــــــــــــــــــــــــ ـــل (http://www.4shared.com/file/51685351/66aca5c1/6_online.html)

كتاب

Digital signal processing (DSP)

http://img300.imageshack.us/img300/171/61325304cm7.png

كتاب: Digital signal processing (DSP)

بسم الله الرحمن الرحيم

السلام عليكم

كتاب

Digital signal processing (DSP)

Preface

Digital signal processing (DSP) is concerned with the representation of signals in digital form, and

with the processing of these signals and the information that they carry. Although DSP, as we know

it today, began to flourish in the 1960's, some of the important and powerful processing techniques

that are in use today may be traced back to numerical algorithms that were proposed and studied

centuries ago. Since the early 1970's, when the first DSP chips were introduced, the field of digital

signal processing has evolved dramatically. With a tremendously rapid increase in the speed of DSP

processors, along with a corresponding increase in their sophistication and computational power,

digital signal processing has become an integral part of many commercial products and applications,

and is becoming a commonplace term.

This book is concerned with the fundamentals of digital signal processing, and there are two ways

that the reader may use this book to learn about DSP. First, it may be used as a supplement to any

one of a number of excellent DSP textbooks by providing the reader with a rich source of worked

problems and examples. Alternatively, it may be used as a self-study guide to DSP, using the method

of learning by example. With either approach, this book has been written with the goal of providing

the reader with a broad range of problems having different levels of difficulty. In addition to

problems that may be considered drill, the reader will find more challenging problems that require

some creativity in their solution, as well as problems that explore practical applications such as

computing the payments on a home mortgage. When possible, a problem is worked in several

different ways, or alternative methods of solution are suggested.

The nine chapters in this book cover what is typically considered to be the core material for an

introductory course in DSP. The first chapter introduces the basics of digital signal processing, and

lays the foundation for the material in the following chapters. The topics covered in this chapter

include the description and characterization of discrete-type signals and systems, convolution, and

linear constant coefficient difference equations. The second chapter considers the represention of

discrete-time signals in the frequency domain. Specifically, we introduce the discrete-time Fourier

transform (DTFT), develop a number of DTFT properties, and see how the DTFT may be used to

solve difference equations and perform convolutions. Chapter 3 covers the important issues

associated with sampling continuous-time signals. Of primary importance in this chapter is the

sampling theorem, and the notion of aliasing. In Chapter 4, the z-transform is developed, which is

the discrete-time equivalent of the Laplace transform for continuous-time signals. Then, in Chapter

5, we look at the system function, which is the z-transform of the unit sample response of a linear

shift-invariant system, and introduce a number of different types of systems, such as allpass, linear

phase, and minimum phase filters, and feedback systems.

The next two chapters are concerned with the Discrete Fourier Transform (DFT). In Chapter 6, we

introduce the DFT, and develop a number of DFT properties. The key idea in this chapter is that

multiplying the DFTs of two sequences corresponds to circular convolution in the time domain.

Then, in Chapter 7, we develop a number of efficient algorithms for computing the DFT of a finitelength

sequence. These algorithms are referred to, generically, as fast Fourier transforms (FFTs).

Finally, the last two chapters consider the design and implementation of discrete-time systems. In

Chapter 8 we look at different ways to implement a linear shift-invariant discrete-time system, and

look at the sensitivity of these implementations to filter coefficient quantization. In addition, we

analyze the propagation of round-off noise in fixed-point implementations of these systems. Then, in

Chapter 9 we look at techniques for designing FIR and IIR linear shiftinvariant filters. Although the

primary focus is on the design of low-pass filters, techniques for designing other frequency selective

filters, such as high-pass, bandpass, and bandstop filters are also considered.

تحميــــــــــــــــــــــــــ ـــل (http://www.4shared.com/file/51685351/66aca5c1/6_online.html)