Table of Contents
Part I Theory
Chapter 1: Mathematical Foundation
Chapter 2: Sums of Matrix-Valued Random Variables
Chapter 3: Concentration of Measure
Chapter 4: Concentration of Eigenvalues and Their Functionals
Chapter 5: Non-asymptotic, Local Theory of Random Matrices
Chapter 6: Asymptotic, Global Theory of Random Matrices
Part II Applications
Chapter 7: Compressed Sensing and Sparse Recovery
Chapter 8: Matrix Completion and Low-Rank Matrix Recovery
Chapter 9: Covariance Matrix Estimation in High Dimensions
Chapter 10: Detection in High Dimensions
Chapter 11: Probability Constrained Optimization
Chapter 12: Database Friendly Data Processing
Chapter 13: From Network to Big Data
Book Details
Title: Cognitive Networked Sensing and Big Data
Author: Michael Wicks, Robert Qiu
Length: 480 pages
Edition: 2014
Language: English
Publisher: Springer
Publication Date: 2013-08-19
ISBN-10: 1461445434
ISBN-13: 9781461445432
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