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Fast Algorithms For Signal Processing

optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure;

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Time-Frequency Signal Analysis and Processing

application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a;

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Efficient Algorithms of Time Series Processing & their Applications

This book presents works on processing time series of observations in problems of meteorology, ichthyology, medical geography, epidemiology;

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Digital Signal Processing Algorithms

of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences;

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An Introduction to Iterative Toeplitz Solvers

ordinary differential equations, numerical solutions of convolution-type integral equations, stationary autoregressive time series in statistics;

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Introduction To Real-Time Imaging

architecture* Linear and non-linear image processing algorithms* Efficient algorithms* Optimization techniques* Programming languages* Hardware;

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Data Clustering and Image Segmentation Through Genetic Algorithms

study and design of human systems helps provide efficient optimization algorithms. Data Clustering and Image Segmentation Through Genetic;

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Graph-based Natural Language Processing and Information Retrieval

applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for;

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Real-Time Progressive Hyperspectral Image Processing

progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly;

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Recent Advances in Nonlinear Dynamics and Synchronization

addressed, e.g. efficient handling of time-varying dynamics, efficient design, faster numerical computations, robustness, stability and convergence;

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Tracking Differentiator Algorithms

noises and ii) exactness with a small phase delay. The book has three focuses: Designing practical, accurate and efficient TD based on;

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Architecture-Aware Optimization Strategies in Real-Time Image Processing

data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book;

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Big Data

use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective;

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Big Data

use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective;

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Practical Machine Learning and Image Processing

customized application. What You Will Learn Discover image-processing algorithms and their applications using Python Explore image processing;

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Practical Machine Learning and Image Processing

application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV;

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Design for Embedded Image Processing on FPGAs

provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient;

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Analysis of Variance in Statistical Image Processing

begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and;

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Analysis of Variance in Statistical Image Processing

begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and;

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Remote Sensing Time Series Image Processing

-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series;

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Beamforming: Sensor Signal Processing For Defence Applications

space and space-time (STAP) beamforming algorithms and their application to radar systems are considered with emphasis given to 'look-down;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications;

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Recent Advances on Memetic Algorithms and its Applications in Image Processing

This book includes original research findings in the field of memetic algorithms for image processin;...

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Recent Advances on Memetic Algorithms and its Applications in Image Processing

This book includes original research findings in the field of memetic algorithms for image processin;...

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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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Digital Signal Processing

Digital signal processing (DSP) has been applied to a very wide range of applications. This incl;...

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Algorithms For Image Processing And Computer Vision

A cookbook of algorithms for common image processing applications Thanks to advances in computer har;...

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