Signal And System Book By Tarun Kumar Rawat Pdf 267: A Comprehensive Textbook for Engineering Students
Signal And System Book By Tarun Kumar Rawat Pdf 267: A Comprehensive Textbook for Engineering Students
If you are looking for a textbook that covers the fundamental concepts of signals and systems in a clear and student-friendly manner, then you should consider Signal And System Book By Tarun Kumar Rawat Pdf 267. This book is written by Tarun Kumar Rawat, a lecturer at the Department of Electronics and Communication Engineering, Netaji Subhas Institute of Technology (NSIT), Delhi. He has extensive teaching and research experience in the areas of circuits and systems, digital signal processing, statistical signal processing, stochastic nonlinear filters, and digital communication.
Signal And System Book By Tarun Kumar Rawat Pdf 267 is designed for undergraduate students of engineering who are taking a course on signals and systems. It covers topics such as classification of signals, convolution and correlation of signals, continuous-time Fourier series (CTFS), discrete-time Fourier series (DTFS), continuous-time Fourier transform (CTFT), sampling, Laplace transform, and z-transform. It also includes a separate chapter on MATLAB programs and another chapter on Hilbert transform.
Signal And System Book By Tarun Kumar Rawat Pdf 267
The book features more than 300 solved examples with step-by-step solutions to help students understand the theoretical concepts. It also provides numerous numerical problems and multiple choice questions at the end of every chapter for practice and revision. The book also includes model question papers to prepare students for examinations.
Signal And System Book By Tarun Kumar Rawat Pdf 267 is available online as a PDF file that can be downloaded for free. You can access it by clicking on the link below:
Download Signal And System Book By Tarun Kumar Rawat Pdf 267
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Oxford University Press
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In this section, we will give you a brief overview of some of the topics covered in Signal And System Book By Tarun Kumar Rawat Pdf 267.
Classification of Signals
Signals are functions that represent physical phenomena or information. They can be classified according to different criteria, such as:
Continuous-time or discrete-time: A continuous-time signal is defined for all values of time, while a discrete-time signal is defined only for discrete values of time.
Periodic or aperiodic: A periodic signal repeats itself after a fixed interval of time, while an aperiodic signal does not.
Even or odd: An even signal is symmetric about the origin, while an odd signal is antisymmetric about the origin.
Deterministic or random: A deterministic signal can be predicted exactly, while a random signal cannot.
Energy or power: An energy signal has finite energy and zero average power, while a power signal has infinite energy and finite average power.
Convolution and Correlation of Signals
Convolution and correlation are two important operations that are used to analyze the relationship between two signals. Convolution is used to find the output of a linear time-invariant (LTI) system when the input is given, while correlation is used to measure the similarity or dissimilarity between two signals.
The convolution of two continuous-time signals x(t) and h(t) is defined as:
$$y(t) = x(t) * h(t) = \int_-\infty^\infty x(\tau) h(t - \tau) d\tau$$
The convolution of two discrete-time signals x(n) and h(n) is defined as:
$$y(n) = x(n) * h(n) = \sum_k=-\infty^\infty x(k) h(n - k)$$
The correlation of two continuous-time signals x(t) and y(t) is defined as:
$$R_xy(t) = \int_-\infty^\infty x(\tau) y(\tau + t) d\tau$$
The correlation of two discrete-time signals x(n) and y(n) is defined as:
$$R_xy(n) = \sum_k=-\infty^\infty x(k) y(k + n)$$
Continuous-Time Fourier Series (CTFS)
A continuous-time periodic signal can be represented as a sum of sinusoids with frequencies that are integer multiples of the fundamental frequency. This representation is called the continuous-time Fourier series (CTFS). The CTFS coefficients are given by:
$$c_k = \frac1T \int_-T/2^T/2 x(t) e^-j 2 \pi k f_0 t dt$$
where T is the period, f_0 = 1/T is the fundamental frequency, and k is an integer. The CTFS synthesis equation is given by:
$$x(t) = \sum_k=-\infty^\infty c_k e^j 2 \pi k f_0 t$$ 29c81ba772