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Applied Neural Networks for Signal Processing

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural;

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Handbook of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and;

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Artificial Neural Networks - ICANN 2009

neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification;

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Intelligent Signal Processing

, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher;

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Nonlinear Biomedical Signal Processing, Volume 1

For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the;

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Signal Processing for Mobile Communications Handbook

and tables, this handbook makes signal processing as applied to digital communications accessible for all professionals, researchers, and;

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Applied Speech Processing

of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who;

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Time Frequency And Wavelets In Biomedical Signal Processing

, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets;

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Neural Networks for Optimization and Signal Processing

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but;

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Statistical Signal Processing for Neuroscience and Neurotechnology

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving;

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Signal Processing and Image Processing for Acoustical Imaging

, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal;

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Recurrent Neural Networks for Prediction

of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively;

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Neurocomputing Research Developments

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory; hardware and so on;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Progress in Neurocomputing Research

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory, hardware and so on;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Tree-Based Convolutional Neural Networks

This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data;

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Digital Signal Processing in Telecommunications

This publication deals with the application of advanced digital signal processing techniques and neural networks to various;

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Cellular Neural Networks

Cellular Neural Networks (CNN's) were introduced in 1988 by L O Chua and L Yang as a novel class of information processing systems, which;

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Soft Computing and Signal Processing

The book presents selected research papers on current developments in the field of soft computing and signal processing from the;

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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;

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