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Computational Signal Processing and Analysis

relevant nano/micro materials and devices. Featuring the latest research on computational signal processing and analysis, the book is useful to;

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Computational Intelligence and Biomedical Signal Processing

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The;

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Computational Vision and Medical Image Processing IV

, modal analyses, stochastic methods, principal and independent components analysis and distribution models. Computational Vision and Medical;

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Computational Vision and Medical Image Processing

processing and analysis), Computer Sciences, Computational Mechanics and Medicine.;

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Signal Processing Techniques for Computational Health Informatics

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the;

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Computational Vision and Medical Image Processing

(Image Processing and Analysis), Computer Sciences, Computational Mechanics and Medicine.;

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Computational Vision and Medical Image Processing

professionals in Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics and Medicine.;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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Signal Processing in Neuroscience

methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and;

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Computational Bioengineering and Bioinformatics

This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular;

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Computational Bioengineering and Bioinformatics

This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular;

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Computational Vision and Medical Image Processing

in Computational Vision (Image Processing and Analysis), Computer Sciences, Computational Mechanics and Medicine.;

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Transactions on Computational Science XXXI

This, the 31st issue of the Transactions on Computational Science, focusses on signal processing and security in distributed systems. The;

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Social Signal Processing

Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal;

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Signal Processing

, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the;

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Linear Algebra Signal Processing and Wavelets A Unified Approach

This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis;

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Signal Processing

on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation;

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Pattern Recognition and Signal Processing in Archaeometry

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;

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High-Resolution and Robust Signal Processing

theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing;

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Advances in Computational Mathematics

, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems;

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Communication, Signal Processing & Information Technology

Signal Processing, Multiresolution Analysis, Wavelets, Smart Antennas, Adaptive Antennas, Theory and Practice of Signal Processing, Digital;

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Signal Processing with Free Software

files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics;

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Modern Signal Processing

: computational harmonic analysis, envisioned as a technology for efficiently analysing real data using inherent symmetries; and the challenges inherent;

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Modern Signal Processing

: computational harmonic analysis, envisioned as a technology for efficiently analysing real data using inherent symmetries; and the challenges inherent;

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Computational Intelligence in Biomedical Engineering

techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI;

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Computational Intelligence in Biomedical Engineering

techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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