Cantitate/Preț
Produs
Total produse
Vezi coșul
Complex Valued Nonlinear Adaptive Filters de Danilo P Mandic

Complex Valued Nonlinear Adaptive Filters: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Autor Danilo P Mandic, Vanessa Su Lee Goh
en Limba Engleză Hardback – iun 2009
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.
Citește tot Restrânge

Din seria Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

  • 9% Acoustic Echo and Noise Control – A Practical Approach
    Preț: 96288 lei
  • 9% Kalman Filtering and Neural Networks
    Preț: 96426 lei
  • 5% Independent Component Analysis
    Preț: 116802 lei
  • 9% Recurrent Neural Networks for Prediction – Learning Algorithms, Architectures and Stability
    Preț: 144489 lei
  • 9% Fuzzy And Neural Approaches in Engineering
    Preț: 125648 lei
  • 9% Unsupervised Adaptive Filtering – Blind Deconvolution V 2
    Preț: 78030 lei
  • 9% Adaptive Control of Systems with Actuator and Sensor Nonlinearities
    Preț: 110062 lei
  • 9% Regularized Radial Basis Function Networks – Theory & Applications
    Preț: 97622 lei
  • 9% Nonlinear Dynamical Systems – Feedforward Network Perspectives
    Preț: 107951 lei
  • 9% Principal Component Neural Networks – Theory and Applications
    Preț: 111477 lei
  • 9% Nonlinear and Adaptive Control Design
    Preț: 128838 lei
  • 9% Robust Systems Theory and Applications
    Preț: 117649 lei
  • 9% Intelligent Image Processing
    Preț: 97193 lei
  • 9% Roots of Backpropagation – From Ordered Derivatives to Neural Networks and Political Forecasting
    Preț: 116892 lei
  • 9% Handbook on Array Processing and Sensor Networks
    Preț: 142952 lei
  • 9% Radio Resource Management in Multi–Tier Cellular Wireless Networks
    Preț: 73969 lei
  • 9% Data–Variant Kernel Analysis
    Preț: 77930 lei
  • 9% Bayesian Signal Processing – Classical, Modern, and Particle Filtering Methods 2e
    Preț: 83299 lei
  • 9% Correlative Learning – A Basis for Brain and Adaptive Systems
    Preț: 107755 lei
  • 9% Kernel Adaptive Filtering – A Comprehensive Introduction
    Preț: 72881 lei
  • 34% Adaptive Approximation Based Control
    Preț: 79313 lei

Preț: 66549 lei

Preț vechi: 99376 lei
-33% Nou

Puncte Express: 998
Preț estimativ în valută:
11776€ • 13827$ • 10336£

Carte indisponibilă temporar


Wish list
Gift list
Am citit!
Adaugă în listă
Doresc să fiu notificat când acest titlu va fi disponibil:
Trimite
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780470066355
ISBN-10: 0470066350
Pagini: 344
Dimensiuni: 173 x 249 x 25 mm
Greutate: 0.75 kg
Editura: Wiley
Seria Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Locul publicării:Chichester, United Kingdom

Public țintă

Researchers, practising engineers and graduate students

Notă biografică

Danilo Mandic, Department of Electrical and Electronic Engineering, Imperial College London, London
Dr Mandic is currently a Reader in Signal Processing at Imperial College, London. He is an experienced author, having written the book Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability (Wiley, 2001), and more than 150 published journal and conference papers on signal and image processing. His research interests include nonlinear adaptive signal processing, multimodal signal processing and nonlinear dynamics, and he is an Associate Editor for the journals IEEE Transactions on Circuits and Systems and the International Journal of Mathematical Modelling and Algorithms. Dr Mandic is also on the IEEE Technical Committee on Machine Learning for Signal Processing, and he has produced award winning papers and products resulting from his collaboration with industry.
Su-Lee Goh, Royal Dutch Shell plc, Holland
Dr Goh is currently working as a Reservoir Imaging Geophysicist at Shell in Holland. Her research interests include nonlinear signal processing, adaptive filters, complex-valued analysis, and imaging and forecasting. She received her PhD in nonlinear adaptive signal processing from Imperial College, London and is a member of the IEEE and the Society of Exploration Geophysicists.

Descriere

The filtering of real world signals requires an adaptive mode of operation to deal with the statistically nonstationary nature of the data. Feedback and nonlinearity within filtering architectures are needed to cater for long time dependencies and possibly nonlinear signal generating mechanisms.