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Signal Processing

Editat de Ganesh R. Naik
en Limba Engleză Hardback – 30 iun 2013
The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extracting useful knowledge from them. The theory and applications of signal processing are concerned with the identification, modelling and utilisation of patterns and structures in a signal process. This book is aimed to provide a self-contained introduction to the subject as well as offering a set of invited contributions, which we see as lying at the cutting edge of both empirical and computational aspects of signal processing research. This book was born from discussions with researchers in the signal processing community and aims to provide a snapshot of some current trends and future challenges in signal processing research. This book presents state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of signal, image and video data. The book is likely to be of interest to post graduate students, researchers, engineers, and professors - in the field of signal processing. This book is organized into 13 chapters, covering diverse applications of signal processing research.
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Specificații

ISBN-13: 9781628081411
ISBN-10: 1628081414
Pagini: 227
Ilustrații: illustrations
Dimensiuni: 178 x 258 x 21 mm
Greutate: 0.68 kg
Editura: Nova Science Publishers Inc

Cuprins

Preface; Fourier Bessel & Wavelet Based Feature Extraction Technique (FBWBF) For Speaker Identification; Digital Modulation Classification Using Artificial Intelligence Tools; Energy Spectrum Analysis for Bearing Fault Detection; T-Wave Frequency Content Evaluation in Healthy Subjects & Patients Affected By Myocardial Infarction; Filter Identification with Fuzzy Logic Transition; A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection; Closed Loop Identification of Uncertain Systems; Blind Unmixing of Hyperspectral Data with Some Pure Pixels: Spatial Variance-Based Methods Exploiting Sparsity & Non-Negativity Properties; Sub-Matrix Discrete Cosine Transform; Extension of a Cumulant-Based ICA Method to Underdetermined Mixtures & Separability Analysis; Multidimensional Sinusoidal Frequency Estimation: Overview & Recent Results; Singular Vector Based Approaches for Speech Enhancement; Index.