Signal Processing

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Measurement, Instrumentation, and Sensors Handbook, Second Edition: Two-Volume Set

Measurement, Instrumentation, and Sensors Handbook, Second Edition: Two-Volume Set

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John G. Webster, Halit Eren

January 29, 2014

This new edition of the bestselling Measurement, Instrumentation, and Sensors Handbook brings together all aspects of the design and implementation of measurement, instrumentation, and sensors. Reflecting the current state of the art, it describes the use of instruments and techniques for performing...

Signals and Systems: A MATLAB® Integrated Approach

Signals and Systems: A MATLAB® Integrated Approach

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Oktay Alkin

March 18, 2014

Drawing on the author’s 25+ years of teaching experience, Signals and Systems: A MATLAB® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB® as a computational tool, but Alkin’s text employs MATLAB both computation...

Electric Power Distribution Handbook, Second Edition

Electric Power Distribution Handbook, Second Edition

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Thomas Allen Short

May 19, 2014

Of the "big three" components of electrical infrastructure, distribution typically gets the least attention. In fact, a thorough, up-to-date treatment of the subject hasn’t been published in years, yet deregulation and technical changes have increased the need for better information. Filling this ...

Electrical Power Transmission System Engineering: Analysis and Design, Third Edition

Electrical Power Transmission System Engineering: Analysis and Design, Third Edition

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Turan Gonen

May 14, 2014

Electrical Power Transmission System Engineering: Analysis and Design is devoted to the exploration and explanation of modern power transmission engineering theory and practice. Designed for senior-level undergraduate and beginning-level graduate students, the book serves as a text for a two-semeste...

Audio Effects: Theory, Implementation and Application

Audio Effects: Theory, Implementation and Application

Joshua D. Reiss, Andrew McPherson

October 23, 2014

Audio Effects: Theory, Implementation and Application explores digital audio effects relevant to audio signal processing and music informatics. It supplies fundamental background information on digital signal processing, focusing on audio-specific aspects that constitute the building block on which...

Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines

Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou

October 23, 2014

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and...

Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®

Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®

Alexander D. Poularikas

September 26, 2014

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the...

Essential Principles of Image Sensors

Essential Principles of Image Sensors

Takao Kuroda

August 12, 2014

Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential Principles of Image Sensors discusses image information and its four factors: space, light intensity, wavelength, and time. Featuring clarifying and insightful...

Compressive Sensing for Urban Radar

Compressive Sensing for Urban Radar

Moeness Amin

August 07, 2014

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have...

Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications

Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications

Feng Wu

July 25, 2014

Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing...

Sinusoids: Theory and Technological Applications

Sinusoids: Theory and Technological Applications

Prem K. Kythe

July 08, 2014

A Complete Treatment of Current Research Topics in Fourier Transforms and Sinusoids Sinusoids: Theory and Technological Applications explains how sinusoids and Fourier transforms are used in a variety of application areas, including signal processing, GPS, optics, x-ray crystallography,...

Signals and Systems: A MATLAB® Integrated Approach

Signals and Systems: A MATLAB® Integrated Approach

Oktay Alkin

March 18, 2014

Drawing on the author’s 25+ years of teaching experience, Signals and Systems: A MATLAB® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB® as a computational tool, but Alkin’s text employs MATLAB both computationally...

MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing

MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing

Lars Torsten Berger, Andreas Schwager, Pascal Pagani, Daniel Schneider

February 18, 2014

One of the first publications of its kind in the exciting field of multiple input multiple output (MIMO) power line communications (PLC), MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing contains contributions from experts in industry and academia, making...

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

December 11, 2013

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient...

Chaotic Signals in Digital Communications

Chaotic Signals in Digital Communications

Marcio Eisencraft, Romis Attux, Ricardo Suyama

October 25, 2013

Chaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications. The book builds a bridge between theoretical works and practical implementation to help researchers attain consistent...

Window Functions and Their Applications in Signal Processing

Window Functions and Their Applications in Signal Processing

K. M. M. Prabhu

October 21, 2013

Window 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...