author = { Haykin, Simon S. AND Príncipe, José C. AND Sejnowski, Terrence J. AND McWhirter, John },

title = { New directions in statistical signal processing from systems to brain },

publisher = {The MIT Press},

publisher = {},

isbn = {0262083485},

isbn = {9780262083485},

keywords = { Neural networks (Neurobiology) , Neural networks (Computer science) , Signal processing Statistical methods , Neural computers },

year = {[2007]},

abstract = {Literaturverzeichnis: Seiten 465-508},

abstract = {Modeling the mind : from circuits to systems Suzanna Becker},

abstract = {Empirical statistics and stochastic models for visual signals David Mumford},

abstract = {Themachine cocktail party problem Simon Haykin, Zhe Chen},

abstract = {Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales Vikram Krishnamurthy},

abstract = {Spin diffusion : a new perspective in magnetic resonance imaging Timothy R. Field},

abstract = {What makes a dynamical system computationally powerful? Robert Legenstein, Wolfgang Maass},

abstract = {Avariational principle for graphical models Martin J. Wainwright, Michael I. Jordan},

abstract = {Modeling large dynamical systems with dynamical consistent neural networks Hans-Georg Zimmermann ...},

abstract = {Diversity in communication : from source coding to wireless networks Suhas N. Diggavi},

abstract = {Designing patterns for easy recognition : information transmission with low-density parity-check codes Frank R. Kschischang, Masoud Ardakani},

abstract = {Turbo processing Claude Berrou, Charlotte Langlais, Fabrice Seguin},

abstract = {Blind signal processing based on data geometric properties Konstantinos Diamantaras},

abstract = {Game-theoretic learning /Geoffrey J. Gordon ; Learning observable operator models via the efficient sharpening algorithm Herbert Jaeger ....},

booktitle = {Neural information processing series},

address = { Cambridge, Massachusetts , },

url = { http://slubdd.de/katalog?TN_libero_mab2 }