Communication Techniques For Digital And Analog Signals

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Communication Techniques for Digital and Analog Signals

Author: Morton Kanefsky
language: en
Publisher: HarperCollins Publishers
Release Date: 1985
Analogue and Digital Communication Techniques

The rapid expansion of digital communications, particularly in the fields of TV and mobile telephones does not overide the need for a clear understanding of analogue frequencies. Moreover, analogue technology will play an important role in communications well into the 21st century.Covering the principles behind analogue and digital communication systems, this book takes a less mathematical approach than is often found at this level. It begins with basic principles such as information systems, data compression and error detection before moving on to more advanced topics such as Pulse Code Modulation systems and digital microwave systems. Data protocols are also given so that the reader can gain a good understanding of more complex communication systems. 'Analogue and Digital Communication Techniques' has been designed for students studying HND electronic communication courses but will also be useful to junior undergraduates on similar courses. Some knowledge of basic elctronics is assumed.
Signal Processing Techniques for Communication

The reference text discusses signal processing tools and techniques used for the design, testing, and deployment of communication systems. It further explores software simulation and modeling tools like MATLAB, GNU Octave, Mathematica, and Python for modeling, simulation, and detailed analysis leading to comprehensive insights into communication systems. The book explains topics such as source coding, pulse demodulation systems, and the principle of sampling and aliasing. This book: Discusses modern techniques including analog and digital filter design, and modulation principles including quadrature amplitude modulation, and differential phase shift keying. Covers filter design using MATLAB, system simulation using Simulink, signal processing toolbox, linear time-invariant systems, and non-linear time-variant systems. Explains important pulse keying techniques including Gaussian minimum shift keying and quadrature phase shift keying. Presents signal processing tools and techniques for communication systems design, modeling, simulation, and deployment. Illustrates topics such as software-defined radio (SDR) systems, spectrum sensing, and automated modulation sensing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.