Price loading...

Coherence: In Signal Processing and Machine Learning

AI & Machine Learning

Price data last checked 107 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book organizes principles and methods of signal processing and machine learning into the framework of coherence. The book contains a wealth of classical and modern methods of inference, some reported here for the first time. General results are applied to problems in communications, cognitive radio, passive and active radar and sonar, multi-sensor array processing, spectrum analysis, hyperspectral imaging, subspace clustering, and related. The reader will find new results for model fitting; for dimension reduction in models and ambient spaces; for detection, estimation, and space-time series analysis; for subspace averaging; and for uncertainty quantification. Throughout, the transformation invariances of statistics are clarified, geometries are illuminated, and null distributions are given where tractable. Stochastic representations are emphasized, as these are central to Monte Carlo simulations. The appendices contain a comprehensive account of matrix theory, the SVD, the multivariate normal distribution, and many of the important distributions for coherence statistics. The book begins with a review of classical results in the physical and engineering sciences where coherence plays a fundamental role. Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. A chapter on classical hypothesis tests for covariance structure introduces the next three chapters on matched and adaptive subspace detectors. These detectors are derived from likelihood reasoning, but it is their geometries and invariances that qualify them as coherence statistics. A chapter on independence testing in space-time data sets leads to a definition of broadband coherence, and contains novel applications to cognitive radio and the analysis of cyclostationarity. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace. These results are used to enumerate sources of acoustic and electromagnetic radiation and to cluster subspaces into similarity classes. The chapter on performance bounds and uncertainty quantification emphasizes the geometry of the Cramèr-Rao bound and its related information geometry.

Product Specifications

Format: Hardcover
ASIN: 3031133307
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 02 January 2023
Listed Since: 01 July 2022

Barcode

No barcode data available

Coherence: In Signal Processing and Machine Learning

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Handbook on Array Processing and Sensor Networks: 60 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Wiley Co-Clustering: Models, Algorithms and Applications

Proceedings of the International Conference on Linear Statistical Inference: v. 306 (Mathematics and its Applications)

Independent Component Analysis (ICA): Algorithms, Applications and Ambiguities (Computer Science, Technology and Applications)

Multirate Statistical Signal Processing (Signals and Communication Technology)

Covariances in Computer Vision and Machine Learning (Synthesis Lectures on Computer Vision)

Wiley-IEEE Press Model-Based Signal Processing Book

A Course in Probability and Statistics

Unsupervised Signal Processing: Channel Equalization and Source Separation

Probability and Statistics for Computer Science

Springer Time-Frequency Analysis and Synthesis of Linear Signal Spaces

Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals

Probability and Random Processes: With Applications to Signal Processing and Communications

Fundamentals of Signal Processing in Generalized Metric Spaces: Algorithms and Applications

Information-theoretic Signal Processing and its Applications

Signal Processing: Signals, Filtering, and Detection

Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing

A First Course in Statistics for Signal Analysis (Statistics for Industry, Technology, and Engineering)

Statistical Signal Processing: Modelling and Estimation (Advanced Textbooks in Control and Signal Processing)

Cooperative and Graph Signal Processing: Principles and Applications

Unsupervised Adaptive Filtering, Blind Deconvolution: 24 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Probability and Statistical Inference

Pattern Recognition

Signal Processing for Joint Radar Communications (IEEE Press)