1.1 Vision: “Big Data”1.2 Cognitive Radio: System Concepts1.3 Spectrum Sensing Interface and Data Structures1.4 Mathematical Machinery1.5 Sample Covariance Matrix1.6 Large Sample Covariance Matrices of Spiked Population Models1.7 Random Matrices and Noncommutative Random Variables1.8 Principal Component Analysis1.9 Generalized Likelihood Ratio Test (GLRT)1.10 Bregman Divergence for Matrix Nearness