Издательство InTech, 2010, -536 pp.
The exponential development of sensor technology and computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications, medicine or chemistry. Signal processing plays nowadays a key role in the progress of knowledge, from the discoveries on the universe underlying structure, to the recent breakthroughs in the understanding of the sub-atom structure of the matter. Inteet, GSM, GPS, HDTV technologies are also indebted to the accelerated evolution of signal processing methods. Today, a major challenge in this domain is the development of fast and efficient algorithms capable of dealing with the huge amount of data provided by the mode sensor technology.
This book intends to provide highlights of the current research in signal processing area, to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment.
New Adaptive Algorithms for the Rapid Identification of Sparse Impulse Responses.
Vector sensor array processing for polarized sources using a quadrilinear representation of the data covariance.
New Trends in Biologically-Inspired Audio Coding.
Constructing wavelet frames and orthogonal wavelet bases on the sphere.
MIMO Channel Modelling.
Finite-context models for DNA coding.
Space-filling Curves in Generating Equidistrubuted Sequences and Their Properties in Sampling of Images.
Sparse signal decomposition for periodic signal mixtures.
Wavelet-based techniques in MRS.
Recent Fingerprinting Techniques with Cryptographic Protocol.
Semiparametric curve alignment and shift density estimation: ECG data processing revisited.
Spatial prediction in the H.264/AVC FRExt coder and its optimization.
Detection of Signals in Nonstationary Noise via Kalman Filter-Based Stationarization Approach.
Direct Design of Infinite Impulse Response Filters based on Allpole Filters.
Robust Unsupervised Speaker Segmentation for Audio Diarization.
New directions in lattice based lossy compression.
Segmented Online Neural Filtering System Based On Independent Components Of Pre-Processed Information.
Practical Source Coding with Side Information.
Crystal-like Symmetric Sensor Arrangements for Blind Decorrelation of Isotropic Wavefield.
Phase Scrambling for Image Matching in the Scrambled Domain.
Fast Algorithms for Inventory Based Speech Enhancement.
Compression of microarray images.
Roundoff Noise Minimization for State-Estimate Feedback Digital Controllers Using Joint Optimization of Error Feedback and Realization.
Signal processing for non-invasive brain biomarkers of sensorimotor performance and brain monitoring.
The use of low-frequency ultrasonics.
The exponential development of sensor technology and computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications, medicine or chemistry. Signal processing plays nowadays a key role in the progress of knowledge, from the discoveries on the universe underlying structure, to the recent breakthroughs in the understanding of the sub-atom structure of the matter. Inteet, GSM, GPS, HDTV technologies are also indebted to the accelerated evolution of signal processing methods. Today, a major challenge in this domain is the development of fast and efficient algorithms capable of dealing with the huge amount of data provided by the mode sensor technology.
This book intends to provide highlights of the current research in signal processing area, to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment.
New Adaptive Algorithms for the Rapid Identification of Sparse Impulse Responses.
Vector sensor array processing for polarized sources using a quadrilinear representation of the data covariance.
New Trends in Biologically-Inspired Audio Coding.
Constructing wavelet frames and orthogonal wavelet bases on the sphere.
MIMO Channel Modelling.
Finite-context models for DNA coding.
Space-filling Curves in Generating Equidistrubuted Sequences and Their Properties in Sampling of Images.
Sparse signal decomposition for periodic signal mixtures.
Wavelet-based techniques in MRS.
Recent Fingerprinting Techniques with Cryptographic Protocol.
Semiparametric curve alignment and shift density estimation: ECG data processing revisited.
Spatial prediction in the H.264/AVC FRExt coder and its optimization.
Detection of Signals in Nonstationary Noise via Kalman Filter-Based Stationarization Approach.
Direct Design of Infinite Impulse Response Filters based on Allpole Filters.
Robust Unsupervised Speaker Segmentation for Audio Diarization.
New directions in lattice based lossy compression.
Segmented Online Neural Filtering System Based On Independent Components Of Pre-Processed Information.
Practical Source Coding with Side Information.
Crystal-like Symmetric Sensor Arrangements for Blind Decorrelation of Isotropic Wavefield.
Phase Scrambling for Image Matching in the Scrambled Domain.
Fast Algorithms for Inventory Based Speech Enhancement.
Compression of microarray images.
Roundoff Noise Minimization for State-Estimate Feedback Digital Controllers Using Joint Optimization of Error Feedback and Realization.
Signal processing for non-invasive brain biomarkers of sensorimotor performance and brain monitoring.
The use of low-frequency ultrasonics.