Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Correlative Learning: A Basis for Brain

📁 Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✍ Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker 📂 Library 📅 2007 🏛 Wiley-Interscience 🌐 English

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the r

Correlative Learning: A Basis for Brain

📁 Correlative Learning: A Basis for Brain and Adaptive Systems

✍ Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker 📂 Library 📅 2007 🏛 Wiley-Interscience 🌐 English

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the r

Nonlinear and Adaptive Control Design (A

📁 Nonlinear and Adaptive Control Design (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✍ Miroslav Krstic, Ioannis Kanellakopoulos, Petar V. Kokotovic 📂 Library 📅 1995 🌐 English

Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backsteppin

Nonlinear and Adaptive Control Design (A

📁 Nonlinear and Adaptive Control Design (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✍ Miroslav Krstic, Ioannis Kanellakopoulos, Petar V. Kokotovic 📂 Library 📅 1995 🏛 Wiley-Interscience 🌐 English

Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backsteppin

Adaptive Signal Processing: Next Generat

📁 Adaptive Signal Processing: Next Generation Solutions (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✍ Tulay Adali, Simon Haykin 📂 Library 📅 2010 🌐 English

Leading experts present the latest research results in adaptive signal processingRecent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents th

Kernel Adaptive Filtering: A Comprehensi

📁 Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✍ Weifeng Liu, Jose C. Principe, Simon Haykin 📂 Library 📅 2010 🏛 Wiley 🌐 English

This is a first-of-a-kind book on this emerging topic. Kernel adaptive filtering will reshape the field of adaptive nonlinear signal processing. The nice thing about this book is it follows closely the classical adaptive filtering theory (AFT). Therefore, you will find no difficulty to follow the m

Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

✦ Synopsis