Signal Processing Techniques for Knowledge Extr. and Infor. Fusion

Signal Processing Techniques for Knowled

📁 Signal Processing Techniques for Knowledge Extraction and Information Fusion

✍ Beth Jelfs, Phebe Vayanos, Soroush Javidi, Vanessa Su Lee Goh, Danilo Mandic (au 📂 Library 📅 2008 🏛 Springer 🌐 English

<p><P>This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information f

Signal Processing Techniques for Knowled

📁 Signal Processing Techniques for Knowledge Extraction and Information Fusion

✍ Danilo Mandic, Martin Golz, Anthony Kuh, Dragan Obradovic, Toshihisa Tanaka 📂 Library 📅 2008 🏛 Springer 🌐 English

<P>This book brings together the latest research achievements from various areas of signal processing and related disciplines in order to consolidate the existing and proposed new directions in DSP based knowledge extraction and information fusion. Within the book contributions presenting both novel

Information Fusion in Signal and Image P

📁 Information Fusion in Signal and Image Processing (Digital Signal and Image Processing)

✍ Isabelle Bloch 📂 Library 📅 2008 🏛 Wiley-ISTE 🌐 English

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities

Bootstrap Techniques for Signal Processi

📁 Bootstrap Techniques for Signal Processing

✍ Abdelhak M. Zoubir, D. Robert Iskander 📂 Library 📅 2004 🏛 Cambridge University Press 🌐 English

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when o

Bootstrap Techniques for Signal Processi

📁 Bootstrap Techniques for Signal Processing

✍ Abdelhak M. Zoubir, D. Robert Iskander 📂 Library 📅 2004 🏛 CUP 🌐 English

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when o

Bootstrap Techniques for Signal Processi

📁 Bootstrap Techniques for Signal Processing

✍ Abdelhak M. Zoubir, D. Robert Iskander 📂 Library 📅 2004 🏛 Cambridge University Press 🌐 English

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when o

Signal Processing Techniques for Knowledge Extr. and Infor. Fusion

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