- ISBN: 9788131732373
- Author: Dr. K.N. Hari Bhat And Dr. D. Ganesh Rao
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About this eBook
In this book, we present the basic principles that underlie the analysis of digital communication systems. The study of digital communications can be divided into two distinct areas, namely, how the communication systems work and how they perform in the presence of noise. The study of each of these two areas, requires certain acquired skills. To study the working of digital communication systems, the students must have a sound background of signals and systems, especially with a dedicated focus towards Fourier series and transforms. To comprehend the performance of digital communication systems in the presence of noise, a basic understanding of probability theory and random processes is essential. In general, many instructors feel that the study of digital communications is not complete unless both of these areas are covered reasonably well. However, it poses one necessary threat the material to be covered is very fast. The two areas along with the required tools needed to navigate through the body of the text are provided in the text. The book is designed to serve as a text for a senior undergraduate level course for students in electronics and communications telecommunications engineering. It is also designed to serve as a text for self-study and as a reference book for the practicing engineer working in the eld of digital communications. Chapter 1 is dedicated to Fourier transforms, with a brief discussion of various properties and its applications. Chapter 2 contains a review of basic elements of probability and random processes. It focusses on Gaussian distribution, stationarity of random processes, white noise process power spectral density and autocorrelation function. Chapter 3 gives a detailed block diagram of a typical digital communication system with essential and optional blocks. Also, addresses the problem of bandwidth dilemma encountered with digital data. Chapter 4 deals with the concept of estimation and detection. A lot of importance is given to signal constellation diagram and the related decision boundaries. The concepts of matched lters and correlators are discussed in great depth without skipping relevant steps. This chapter in fact forms the basis for Chapter 8. Chapter 5 is devoted to create the link between analog and digital worlds. Different types of sampling techniques and subsequent signal reconstruction techniques without sacri cing mathematical rigor have been broached to make a student master the intricate concepts of sampling. Chapter 6 treats the various aspects of converting analog samples into a digital waveform compatible for transmission on a channel. The generation, transmission, regeneration vii
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and decoding of PCM signals is covered in great depth. Speech coding has been brie y discussed from the point of conserving bandwidth. In Chapter 7, the concept of intersymbol interference and techniques to reduce their effects have been discussed. Also, a technique for measuring ISI and distortion caused by noise has been discussed. Correlative coding and adaptive equalization are discussed brie y. Chapter 8 is dedicated to bandpass transmission of digital signals. Various modulation techniques along with signal constellation diagrams have been discussed. A lot of importance is given to the computation of probability of symbol error for coherent and noncoherent detection schemes.