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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on;

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Optimal and Adaptive Signal Processing

algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;

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Optimal and Adaptive Signal Processing

algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;

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Partial-Update Adaptive Signal Processing

and development of partial-update adaptive signal processing algorithms for use in systems development.Partial-Update Adaptive;

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Digital Signal Processing Using MATLAB

Learn to use MATLAB as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to;

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Fundamentals of Adaptive Signal Processing

. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for;

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Fundamentals of Adaptive Signal Processing

. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for;

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Identification Of Time-Varying Processes

control and failure detection). The processes also assist signal processing in areas such as adaptive noise reduction, prediction of time series;

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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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Signal Processing for Multistatic Radar Systems

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;

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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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Data Algorithms

, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Methodologies

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Nonlinear Biomedical Signal Processing, Volume 1

analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive;

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Compressed Sensing in Radar Signal Processing

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive;

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Adaptive Filtering

various applications addressed are MIMO receivers, adaptive exon prediction for DNA analysis, beam steering for smart antennas for mobile;

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Smart Antennas

procedures for adaptive processing using directive elements in a conformal array clarify multistage analysis procedure which combines;

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Adaptive Blind Signal And Image Processing

efficient algorithms for blind source separation, Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and;

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Proportionate-type Normalized Least Mean Square Algorithms

. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo;

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Multimedia Signal Processing

, adaptive filters, linear prediction hidden Markov models and independent component analysis. Part 3: Applications of Signal Processing in Speech;

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Computational Genomic Signatures

genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text;

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Radar Signal Analysis and Processing Using MATLAB

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;

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Digital Signal and Image Processing

Signal and image processing incorporates three fundamental areas: signal processing, adaptive filters and image processing. This book;

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Learning Algorithms

Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year;

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