Название: Signals and Systems, Second edition
Автор: S. Palani
Издательство: Springer, ANE Books
Год: 2022
Страниц: 1093
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

I have ventured to bring out the second edition of the book Signals and Systems in its new form due to the success and wide patronage extended to the previous edition and reprints by the members of the teaching faculty and student community. The present edition as in the previous edition covers the undergraduate syllabus in Signals and Systems for the B.E. degree courses. A thorough revision of all the chapters in the previous edition has been undertaken. Few errors noticed in the previous edition have been removed and appropriate corrections have been made. Signal representation is a vital topic to understand the importance of the theoretical concepts in Signals and Systems.

A large number of numerical problems have been included in Chap. 1 which describes signal representation (both continuous and discrete time signals). Similarly, the classification of systems is well explained in Chap. 2 with graphical illustration wherever possible. More number of numerical problems have been added in Chap. 4 which describes Fourier Series Analysis. Further, the properties of FS are well explained and applied in solving many FS problems by cutting short lengthy procedures. Similarly, in Chap. 6, explanation is provided for the Fourier Transform method of Analysis and for the properties of FT which are frequently used to solve numerical problems in an easier way. However, in FS and FT, conventional methods of solving the numerical problems are also retained. In Chap. 8, numerical problems using LT properties have been solved. I hope that the readers of this book would appreciate the above attempts. Since every theoretical concept is explained by a variety of numerical examples which are presented in a graded manner, the book is voluminous.

Contents:
1. Representation of Signals
2. Continuous and Discrete Time Systems
3. Time Domain Analysis of Continuous and Discrete Time Systems
4. Fourier Series Analysis of Continuous Time Signals
5. Fourier Series Analysis of Discrete Time Signals
6. Fourier Transform Analysis of Continuous Time Signals
7. Fourier Transform Analysis of Discrete Time Signals and Systems-DTFT, DFT and FFT
8. The Laplace Transform Method for the Analysis of Continuous Time Signals and Systems
9. The z-Transform Analysis of Discrete Time Signals and Systems
10. Sampling




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