TY  - BOOK
AU  - Haykin,Simon
AU  - Principe,Jose C.
AU  - Sejnowski,Terrence J.
AU  - McWhirter,John
TI  - New Directions in Statistical Signal Processing: From Systems to Brains
T2  - Neural Information Processing Series
SN  - 9780262256315
AV  - QP363.3.N52 2007 
U1  - 006.32 
PY  - 2006///
CY  - Cambridge
PB  - MIT Press
KW  - Neural computers
KW  - Electronic books
N1  - Intro -- Series Foreword -- Preface -- 1 Modeling the Mind: From Circuits to Systems -- 2 Empirical Statistics and Stochastic Models for Visual Signals -- 3 The Machine Cocktail Party Problem -- 4 Sensor Adaptive Signal Processing of Biological Nanotubes (Ion Channels) at Macroscopic and Nano Scales -- 5 Spin Diffusion: A New Perspective in Magnetic Resonance Imaging -- 6 What Makes a Dynamical System Computationally Powerful? -- 7 A Variational Principle for Graphical Models -- 8 Modeling Large Dynamical Systems with Dynamical Consistent Neural Networks -- 9 Diversity in Communication: From Source Coding to Wireless Networks -- 10 Designing Patterns for Easy Recognition: Information Transmission with Low-Density Parity-Check Codes -- 11 Turbo Processing -- 12 Blind Signal Processing Based on Data Geometric Properties -- 13 Game-Theoretic Learning -- 14 Learning Observable Operator Models via the Efficient Sharpening Algorithm -- References -- Contributors -- Index
N2  - Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields
UR  - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3338650
ER  -