WIN $150 GIFT VOUCHERS: ALADDIN'S GOLD

Close Notification

Your cart does not contain any items

Signal Processing: An Applied Decomposition Approach by James Vincent Candy (University of California, Santa Barbara; University of Cincinnati; University of Florida) at Abbey's Bookshop,
Signal Processing: An Applied Decomposition Approach
— —
James Vincent Candy (University of California, Santa Barbara; University of Cincinnati; University of Florida)

Signal Processing

An Applied Decomposition Approach

James Vincent Candy (University of California, Santa Barbara; University of Cincinnati; University of Florida)

$232.95

Hardback

Not in-store but you can order this
How long will it take?
English
Wiley-IEEE Press
07 October 2024
Electronics & communications engineering
Separate signals from noise with this valuable introduction to signal processing by applied decomposition

The decomposition of complex signals into the sub-signals, or individual components, is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually, enables the signal to be isolated from noise, and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles.

Signal Processing: An Applied Decomposition Approach demystifies these tools from a model-based perspective. This offers a mathematically informed, “step-by-step” analysis of the process by breaking down a composite signal/system into its constituent parts, while introducing both fundamental concepts and advanced applications. This comprehensive approach addresses each of the major decomposition techniques, making it an indispensable addition to any library specializing in signal processing.

Signal Processing readers will find:

Signal decomposition techniques developed from the data-based, spectral-based and model-based perspectives incorporate: statistical approaches (PCA, ICA, Singular Spectrum); spectral approaches (MTM, PHD, MUSIC); and model-based approaches (EXP, LATTICE, SSP) In depth discussion of topics includes signal/system estimation and decomposition, time domain and frequency domain techniques, systems theory, modal decompositions, applications and many more

Numerous figures, examples, and tables illustrating key concepts and algorithms are developed throughout the text

Includes problem sets, case studies, real-world applications as well as MATLAB notes highlighting applicable commands

Signal Processing is ideal for engineering and scientific professionals, as well as graduate students seeking a focused text on signal/system decomposition with performance metrics and real-world applications.
By:  
Imprint:   Wiley-IEEE Press
Country of Publication:   United States
Weight:   666g
ISBN:   9781394207442
ISBN 10:   1394207441
Pages:   480
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

James Vincent Candy, PhD, is the Chief Scientist for Engineering, a Distinguished Member of the Technical Staff, founder and former Director of the Center for Advanced Signal & Image Sciences (CASIS) at the Lawrence Livermore National Laboratory and an Adjunct Full-Professor at the University of California, Santa Barbara. He received his his BSEE from the University of Cincinnati along with his MSE and PhD in Electrical Engineering from the University of Florida. Dr. Candy is a Life-Fellow of the IEEE and a 25-Year-Fellow of the Acoustical Society of America (ASA). He was elected as a Life Member at the University of Cambridge (Clare Hall College). Dr. Candy has been awarded the Interdisciplinary Helmholtz-Rayleigh Silver Medal in Signal Processing/Underwater Acoustics by the Acoustical Society of America, the IEEE Distinguished Technical Achievement Award for the development of model-based signal processing as well as an elected IEEE Distinguished Lecturer in Oceanic Signal Processing. He also received the R&D100 award for his innovative invention in radiation threat detection. He has published over 250 journal articles, book chapters, and technical reports as well as written six texts in signal processing: Signal Processing: the Model-Based Approach, (McGraw-Hill, 1986), Signal Processing: the Modern Approach,(McGraw-Hill, 1988), Model-Based Signal Processing, (Wiley/IEEE Press, 2006), Bayesian Signal Processing: Classical, Modern and Particle Filtering (Wiley/IEEE Press, 2009), Bayesian Signal Processing: Classical, Modern and Particle Filtering, 2nd Ed. (Wiley/IEEE Press, 2016), and Model-Based Processing: An Applied Subspace Identification Approach (Wiley, 2019).

See Also

Signal Processing: An Applied Decomposition Approach

Architecting Resilient Systems

Scott Jackson (University of Southern...

Hardback

$198.95 

Not in-store but you can order this

ADD +
Signal Processing: An Applied Decomposition Approach

Wind Energy Storage and Conversion...

From Basics to Utilities

Inamuddin

Hardback

$323.95 

Not in-store but you can order this

ADD +
Signal Processing: An Applied Decomposition Approach

Sewage and Biomass from Wastewater...

Possibilities and Technology

Inamuddin

Hardback

$373.95 

Not in-store but you can order this

ADD +
Signal Processing: An Applied Decomposition Approach

Biomedical and Environmental Sensing...

J. I. Agbinya

Paperback

$92.99 

Not in-store but you can order this

ADD +
Signal Processing: An Applied Decomposition Approach

A Real-time Approach to Distillation...

Brent R. Young (University of Auckland,...

Hardback

$265.95 

Not in-store but you can order this

ADD +
Signal Processing: An Applied Decomposition Approach

Nonlinear Optical Technology

From The Beginning

Elsa M. Garmire (Dartmouth College)...

Hardback

$241.95 

Not in-store but you can order this

ADD +