on discrete-time signals and systems. It characterizes the various discrete-time
signals and systems in mathematical terms followed by examples to clarify the
subject matter. Chapter 2 also describes the process of converting continuous-time
signals to discrete-time sequences. The Z-transform is introduced in Chap. 3. Since
Z-transform is very useful in both analysis and design of discrete-time systems, its
properties are elaborated with several examples. Next the representation of discrete-
time signals and systems in the frequency domain is discussed in Chap. 4. Here, the
connection between the Z-transform and discrete-time Fourier transform is
explained. Several examples are worked out to make the subject matter clearer.
Since digital signal processing implies computational methods, Chapt. 5 introduces
the concept of discrete Fourier transform. It also deals with the relationship between
discrete-time Fourier transform and discrete Fourier transform. Again, MATLAB-
based examples are included.
Once the signals and systems are described in the time and frequency domains,
Chap. 6 then deals with the design of infinite impulse response (IIR) digital filters. It
treats the design of IIR digital filters based on analytical methods as well as on
computer-based techniques. In addition, real-life systems are simulated using
MATLAB/Simulink tool. Continuing further, Chap. 7 discusses the design of finite
impulse response (FIR) digital filters using both the analytical and computer-based
methods. Many examples are included to aid the students in understanding the
material better. It is not enough just to learn the design of IIR and FIR digital filters.
A professional engineer must know how to implement these filters in various real-
time applications. Therefore, Chap. 8 is included, whi ch deals with the signal flow
graphs of digital filters. It describes both canoni cal and noncanonical structures to
implement IIR and FIR digital filters. Knowing how to draw the signal flow graphs
of digital filters makes one to implement them either in software or hardware. Even
though discrete Fourier transform (DFT) is introduced in Chap. 5, it does not deal
with the ef ficient implementation of the DFTs. Chapter 9 describes efficient com-
putational methods to calculate the DFT of a sequence. It further deals with short-
time Fourier transform, zoom FFT, etc.
So far these chapters describe discrete-time signals and systems and various
design techniques. In Chap. 10, the application of digital signal processing methods
in wireless communications in general and digital communications in particular is
discussed. The chapter deals with reducing the intersymbol interference, pulse
shaping, detection of binary data using matched filters, channel equalization,
phase-locked loop, orthogonal frequency division multiplexing, and software-
defined radio, all using digital signal processing. Examples based on MATLAB
are presented along with SIMULINK-based digital communications system. Codes
for all MATLAB and SIMULINK.
I thank Tony Babaian for giving me the opportunity to teach the online courses
titled DSP I and DSP for wireless communications. My sincere thanks to Sveteslav
Maric for editing the book draft. I also thank the students for their feedback on the
contents of the application of DSP in wireless communications. I am indebted to
vi Preface
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德赛法2018-12-25没算错的话，缺了5页内容。电子版的，清晰。
