Signals And Systems By Sanjay Sharma Pdf 82

Signals And Systems By Sanjay Sharma Pdf 82

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Signals and Systems by Sanjay Sharma: A Comprehensive Textbook for Engineering Students

If you are looking for a detailed and student-friendly textbook on signals and systems, you might want to check out Signals and Systems by Sanjay Sharma. This book covers the fundamental concepts of signals and systems, such as convolution and correlation of signals, CTFS, DTFS, CTFT, sampling, Laplace transform, and Z-transform. It also includes a large number of solved examples with step-by-step solutions for easier understanding of the theoretical concepts.

The book is designed for undergraduate students of various branches of engineering, such as electrical, electronics, computer, and communication. It follows a logical and systematic approach to explain the subject matter, starting from the basics of signals and moving on to other topics in a progressive manner. The book also provides multiple choice questions and numerical exercises at the end of each chapter to help students test their knowledge and apply the concepts learned in the chapters.

You can download a PDF version of the book from various online sources, such as Google Books[^1^], PDF Room[^2^], Scribd[^3^], etc. However, you should be aware that some of these sources may not have the complete or updated version of the book. Therefore, it is advisable to buy the original book from Amazon or other reliable sellers to get the full benefits of this excellent textbook.

Signals and Systems by Sanjay Sharma is a must-have book for anyone who wants to learn more about signals and systems in a clear and concise way. It will help you master the subject and prepare you for your exams and future career.

In this article, we will give you a brief overview of some of the important topics covered in Signals and Systems by Sanjay Sharma. These topics are essential for understanding the analysis and design of various systems that involve signals, such as communication, control, and signal processing systems.

What are Signals and Systems

A signal is a function that represents the variation of a physical quantity with respect to time, space, or any other variable. For example, a sound wave is a signal that varies with time and space. A system is a device or a process that performs some operation on a signal. For example, a microphone is a system that converts sound waves into electrical signals.

Signals can be classified into different types based on their characteristics, such as continuous-time or discrete-time, periodic or non-periodic, deterministic or random, etc. Systems can be classified into different types based on their properties, such as linear or nonlinear, time-invariant or time-varying, causal or non-causal, etc.

What are Convolution and Correlation of Signals

Convolution and correlation are two important operations that are used to measure the similarity or the effect of one signal on another. Convolution is a mathematical operation that describes the output of a linear time-invariant system when given an input signal. Correlation is a statistical measure that describes the degree of similarity or dependence between two signals.

The convolution of two signals x(t) and h(t) is denoted by x(t) * h(t) and is defined as:

x(t) * h(t) = â x(Ï) h(t - Ï) dÏ

The correlation of two signals x(t) and y(t) is denoted by Rxy(Ï) and is defined as:

Rxy(Ï) = â x(t) y(t + Ï) dt

Convolution and correlation have many applications in signal processing, such as filtering, modulation, detection, etc.

What are CTFS, DTFS, CTFT, and DTFT

CTFS stands for Continuous-Time Fourier Series, DTFS stands for Discrete-Time Fourier Series, CTFT stands for Continuous-Time Fourier Transform, and DTFT stands for Discrete-Time Fourier Transform. These are four methods of representing signals in terms of their frequency components.

A periodic signal can be represented as a sum of sinusoidal signals with different frequencies, amplitudes, and phases. This representation is called the Fourier series. The coefficients of the Fourier series are called the Fourier coefficients. The CTFS and the DTFS are used to find the Fourier coefficients of continuous-time and discrete-time periodic signals respectively.

A non-periodic signal can be represented as an integral of sinusoidal signals with different frequencies, amplitudes, and phases. This representation is called the Fourier transform. The function that relates the amplitude and phase of each frequency component to the frequency is called the Fourier spectrum. The CTFT and the DTFT are used to find the Fourier spectrum of continuous-time and discrete-time non-periodic signals respectively.

The Fourier series and the Fourier transform have many applications in signal analysis and synthesis, such as filtering, modulation, sampling, etc. aa16f39245