Haykin, Simon. <br/><br/>
New Directions in Statistical Signal Processing :  From Systems to Brains. 

 - 1st ed. 
 - 1 online resource (525 pages) 
 - Neural Information Processing Series .
 - Neural Information Processing Series .
<br/><br/>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. 
<br/><br/> Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields. 
<br/><br/><label>ISBN: </label>9780262256315 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural computers.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QP363.3.N52 2007 
<br/><br/><label>Dewey Class. No.: </label>006.32