OPTIMUM SIGNAL PROCESSING. AN INTRODUCTI
Author: Sophocles J. Orfanidis
Publisher:
Published: 1990
Total Pages: 590
ISBN-13: 9780071008341
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Detection, Estimation, and Modulation Theory, Set (Volumes: I,II, III,IV)
Author: Harry L. Van Trees
Publisher: Wiley-Interscience
Published: 2003-02-07
Total Pages: 0
ISBN-13: 9780471449676
DOWNLOAD EBOOKSignal processing plays an important role in many diverse application areas, including radar, sonar, communications, seismology, radio astronomy, tomography, and communications. Now, by popular demand, acclaimed author Harry Van Trees' four-part encyclopedic treatment of signal processing is now collected into a set offering 25 years of information in a single source.
Statistical and Adaptive Signal Processing
Author: Dimitris G. Manolakis
Publisher: Artech House Publishers
Published: 2005
Total Pages: 824
ISBN-13:
DOWNLOAD EBOOKThis authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.
Fast Algorithms for Signal Processing
Author: Richard E. Blahut
Publisher: Cambridge University Press
Published: 2010-06-24
Total Pages: 469
ISBN-13: 1139487957
DOWNLOAD EBOOKEfficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.
Window Functions and Their Applications in Signal Processing
Author: K. M. M. Prabhu
Publisher: CRC Press
Published: 2018-09-03
Total Pages: 404
ISBN-13: 1466515848
DOWNLOAD EBOOKWindow functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in Signal Processing presents an exhaustive and detailed account of window functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively reviewing previous research and recent developments, this book: Provides suggestions on how to choose a window function for particular applications Discusses Fourier analysis techniques and pitfalls in the computation of the DFT Introduces window functions in the continuous-time and discrete-time domains Considers two implementation strategies of window functions in the time- and frequency domain Explores well-known applications of window functions in the fields of radar, sonar, biomedical signal analysis, audio processing, and synthetic aperture radar
Introduction to Signal Processing
Author: Sophocles J. Orfanidis
Publisher:
Published: 1996
Total Pages: 824
ISBN-13:
DOWNLOAD EBOOKThis book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications".
Advanced Digital Signal Processing of Seismic Data
Author: Wail A. Mousa
Publisher: Cambridge University Press
Published: 2020-01-16
Total Pages: 341
ISBN-13: 1107039657
DOWNLOAD EBOOKPresents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.
Statistical Digital Signal Processing and Modeling
Author: Monson H. Hayes
Publisher: John Wiley & Sons
Published: 1996-04-19
Total Pages: 629
ISBN-13: 0471594318
DOWNLOAD EBOOKThe main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.
Microphone Arrays
Author: Michael Brandstein
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 401
ISBN-13: 3662046199
DOWNLOAD EBOOKThis is the first book to provide a single complete reference on microphone arrays. Top researchers in this field contributed articles documenting the current state of the art in microphone array research, development and technological application.
Introduction to Random Signals and Noise
Author: Wim C. Van Etten
Publisher: John Wiley & Sons
Published: 2006-02-03
Total Pages: 270
ISBN-13: 0470024127
DOWNLOAD EBOOKRandom signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.
