Mathematics in Signal Processing V by J. G. McWhirterMathematics in Signal Processing V by J. G. McWhirter

Mathematics in Signal Processing V

EditorJ. G. McWhirter, I. K. Proudler

Hardcover | March 15, 2002

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This is a collection of papers from the IMA conference on Mathematics in Signal Processing. Signal processing is an important industrial area for the application of mathematical concepts - it has recently been fuelled by developments in mobile communications, multimedia systems and digital TV.This collection of papers presents a good coverage of current activity on this subject worldwide and is of interest to those in industry carrying out research into signal processing for communications, sonar, radar, navigation and biomedical applications, and to academic mathematicians identifyingnew mathematical problems.
Professor J.G. McWhirter, Senior Fellow in the Defence Evaluation and Research Agency Dr I.K. Proudler, Fellow in the Defence Evaluation and Research Agency
Title:Mathematics in Signal Processing VFormat:HardcoverDimensions:376 pages, 9.21 × 6.14 × 1 inPublished:March 15, 2002Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198507348

ISBN - 13:9780198507345


Table of Contents

1. P. Comon: Tensor Decompositions: State of the ART and Applications2. P.A. Regalia: Blind Deconvolution and Source Separation3. L. De Lathauwer, B. De Moor, and J. Vandewalle: An Algebraic Algorithm for Independent Component Analysis with More Sources than Sensors4. Y. Luo, and J. Chambers: Quasi-Newton Cross-Correlation and Constant Modulus Adaptive Algorithm for Space-Time Blind Equalization5. M. Davies: Audio Source Separation6. M. Klajman, and J. A. Chambers: Approximate Joint Diagonalization Based on the Cayley Transform7. P. Yuvapoositanon, and J. Chambers: An Adaptive Blind CMOE-CMA Receiver for DS-CDMA Systems8. I. Mann, and S. McLaughlin: Statistics of Impulse Noise in xDSL9. D.S. Broomhead, J.P. Huke, M.R. Muldoon, and A.G. Brown: Nonlinear Thoughts about Linear Signal Processing10. M. Anderle, and M. Kirby: An Application of the Maximum Noise Fraction Method to Filtering Noisy Time Series11. C.-C. Chen, K. Yao, K. Umeno, and E. Biglieri: Applications of Chaotic Dynamical Systems and Ergodic Theory to Spread Spectrum Sequences Design12. P. Ashwin, and X.-C. Fu: On the Dynamics of Some Nonhyperbolic Area-preserving Piecewise Linear Maps13. H. Koeppl, and G. Paoli: Nonlinear System Identification of a Broadband Subscriber Line Interface Circuitry using the Volterra Approach14. S. Chen, and L. Hanzo: Importance Sampling Simulation and Multiple-Hyperplane Realization of the Bayesian Decision Feedback Equalizer15. J.F. Ralph: Accumulated Evidence and Dimensionality Reduction16. T.R. Field: Information Geometric Approaches to Acoustic Signal Classification17. S.P. Luttrell: Using Stochastic Vector Quantizers to Characterize Signal and Noise Subspaces18. R. Wilson: Multiresolution Gaussian Mixtures for Image Analysis19. S. Van Huffel: Mathematics in Biomedical Signal Processing20. Y. Wang, S. Van Huffel, E. Heyvaert, and L. Vanhamme: Automatic Frequency Correction for Quantification of Magnetic Resonance Spectroscopic Images21. N. Aydin: Time-frequency and Time Scale Analysis of Embolic Signals22. B. Barkat: Instantaneous Frequency Estimation of Quadratic FM Signals Corrupted by Multiplicative and Additive Noise23. S. Weiss: Analysis and Fast Implementation of Oversampled Modulated Filter Banks24. F.T. Luk, S. Qiao, and D. Vandervoorde: Exponential Decomposition and Hankel Matrix25. J.-P. Delmas: A Robustness Property of Algorithms Using Second-Order Statistics26. S.D. Hayward: Bias/Variance Trade-Offs in Direction of Arrival Estimation Using Sensor Arrays27. Y. Meurisse, and J.-P. Delmas: Robustness of Narrowband DOA Algorithms with Respect to Signal Bandwidth28. C.Z.W. Hassell Sweatman, J.S. Thompson, B. Mulgrew, and P.M. Grant: A Mathematical Representation and Comparison of Detectors for Wireless Communication using Multiple Antennas29. C.R. Baker: Likelihood Ratio Methods for Underwater Acoustics Signal Detection30. M.D. Macleod: Solution of The General Harmonic Estimation Problem (High-Resolution Sinusoid Parameter Estimation)