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Signals and Systems
"Provides rigorous treatment of deterministic and random signals"--
Random Signal Processing
This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommuni...
Digital Signal Processing
Digital Signal Processing(DSP), is presented in the precise format for undergraduate students and is designed to provide solid foundation for specialized courses in DSP, while assuming that the student has a preliminary knowledge of linear systems and Lapace transform.While MATLAB has emerged as a powerful tool for experimental study of DSP, MATLAB programs and a lab manual have been included in the text and appendix. While the book includes concrete examples to illustrate concepts, a number of well designed problems help the reader master the subject.· Fundamentals of DSP· Sampling· Discrete Time Signals and Systems· Z Transform· Discrete Fourier Transform· Linear-Time Invariant Filter Realization· FIR Filter Design· IIR Filter Design· Quantization Effects in IIR Filters
A Student's Guide to Laplace Transforms
Clear explanations and supportive online material develop an intuitive understanding of the meaning and use of Laplace.
Speech and Audio Signal Processing
This book is primarily intended for the undergraduate students of electronics and communication engineering and audiology. The objective of the book is to give a hands-on experience in speech and audio signal processing, starting from the recording process to the much involved signal processing aspects. The book gives a minimal treatment for the theoretical aspects. More importance is given to the experimental method for understanding the subject by doing simple experiments using Octave/Matlab, universally accepted platforms for signal processing.KEY FEATURES • Brief theoretical description fosters ability to understand the process of human speech production and perception. • Illustrative examples give hands-on experience in application development. • Exercises and problems develop skills on problem solving and assessment of level of understanding.
Engineering Applications of the Laplace Transform
This book is devoted to one of the most critical areas of applied mathematics, namely the Laplace transform technique for linear time invariance systems arising from the fields of electrical and mechanical engineering. It focuses on introducing Laplace transformation and its operating properties, finding inverse Laplace transformation through different methods, and describing transfer function applications for mechanical and electrical networks to develop input and output relationships. It also discusses solutions of initial value problems, the state-variables approach, and the solution of boundary value problems connected with partial differential equations.
'Photos of the Gods'
Chris Pinney demonstrates how printed images were pivotal to India's struggle for national and religious independence. He also provides a history of printing in India.
Filtering and System Identification
Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at www.cambridge.org/9780521875127.
A First Course in Stochastic Models
The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments...
