Hello, my friends. Hope all of you are safe at home and taking proper precautions and getting vaccinated.
As all the intermediate semesters got the merit-based promotion you all get promoted to the next semesters and some of you may have started purchasing books from markets but if you don't want to go outside you can have soft copies of your books.
Here we have brought you a pdf book for sem5 ELECTRICAL ENGINEERING, of" SIGNALS AND SYSTEMS".
OVERVIEW:
Link:-
https://drive.google.com/file/d/1xuvoxyWEMHVKYaoQ7DhpNEyAaIsLQe12/view?usp=drivesdk
2.👇👇
About book
The signals and systems course is not only an important element for undergraduate electrical engineering students but the fundamentals and techniques of the subject are essential in all the disciplines of engineering. Signals and systems analysis has a long history, with its techniques and fundamentals found in broad areas of applications. The signals and systems is continuously evolving and developing in response to new problems, such as the development of integrated circuits technology and its applications. In this book, many illustrative examples are included in each chapter for easy understanding of the fundamentals and methodologies of signals and systems. An attractive feature of this book is the inclusion of MATLAB-based examples with codes to encourage readers to implement exercises on their personal computers in order to become confident with the fundamentals and to gain more insight into signals and systems. In addition to the problems that require analytical solutions, MATLABexercises are introduced to the reader at the end of some chapters. This book is divided into 8 chapters. Chapter 1 presents an introduction to signals and systems with basic classification of signals, elementary operations on signals, and some real-world examples of signals and systems. Chapter 2 gives time-domain analysis of continuous time signals and systems, and state-space representation of continuous-time LTI systems. Fourier analysis of continuous-time signals and systems is covered in Chapter 3. Chapter 4 deals with the Laplace transform and analysis of continuous-time signals and systems, and solution of state-space equations of continuous-time LTI systems using Laplace transform. Ideal continuoustime (analog) filters, practical analog filter approximations and design methodologies, and design of special class filters based on pole-zero placement are discussed in Chapter 5. Chapter 6 discusses the time-domain representation of discrete-time signals and systems, linear time-invariant (LTI) discr ete-time systems and their properties, characterization of discrete-time systems, and state-space representation of discrete-time LTI systems. Representation of discrete-time signals and systems in frequency domain, representation of sampling in frequency domain, reconstruction of a band-limited signal from its samples, and sampling of discrete-time signals are detailed in Chapter 7. Chapter 8 describes the z-transform and analysis of LTI discrete-time systems, the solution of state-space equations of discrete-time LTI systems using z-transform, and transformations between the continuous-time systems and discrete-time systems.
WHERE THIS SUBJECT USED
Signals, Systems & Communication
Advances in technology are improving capabilities of analyzing diverse information sources such as audio (speech, acoustics, music), image (video, multimedia, medical scans), medical signals (heart rate, blood pressure, brain activity) and remote sensing data (geophysical, radar, sonar). Examples of systems that manipulate signals are speech recognition, video streaming, cellular networks and medical scans such as MRI. The disciplines of signal and image processing are concerned with the analysis and synthesis of signals and their interaction with systems. In communications, the objective is to transfer information (signals) from one or many sources to one or many destinations, which requires the design of transmission schemes (e.g., modulation and coding), receivers, and filters. The Signal Systems and Communications area covers the fundamentals of analog and digital signals and systems, the mathematical tools for the analysis of deterministic and random signals, and applications to digital signal processing, digital image processing, and digital/analog communications. Oregon State faculty in signals and communications specialize in areas such as wired and wireless communications, ecological and medical research, cellular communication, data and information sharing.
Employment opportunities range across a large variety of areas such as the cellphone industry, fiber optic communications, ADSL and broadband cable communications, sound and audio engineering, speech recognition, medical imaging systems (X-Rays, CT, MRI, PET), DSP hardware and software design, printing industry, digital displays (CRT, LCD, plasma), digital cameras and camcorders, image compression standards (JPEG, MPEG).
Potential Job Opportunities
Signal processing engineer: development of software and hardware for signal processing in areas such as audio, image, medical, and remote sensing for companies like Texas Instruments, HP, Intel, Google, Samsung, LT, MATLAB
Communication engineer: design, develop and maintain communications systems for companies like Broadcom and Cisco, or national labs like Lawrence Livermore National Laboratory, MIT Lincoln Labs, or MITRE.
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