- Email: [email protected]
Computational methods of signal recovery and recognition
Signal Processing29 (1992) 225 Elsevier
225
Book alerts "Adaptive Radar Detection and Estimation", ed. by Simon Haykin, Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada and AHan Steinhardt, Department of Electrical Engineering, Cornell University, Ithaca, NY, USA. Publishers: John Wiley & Sons Ltd., Baflins Lane, Chichester, West Sussex PO19 1UD, England, 1992, xiv + 473 pages, ISBN 0-47154468-X Contents: 1. Introduction Simon Haykin and Allan Steinhardt 2. Model-based detection Q.T. Zhang and Simon Haykin
"Computational Methods of Signal Recovery and Recognition", ed. by Richard J. Mammone, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, N J, USA. Publishers: John Wiley & Sons Ltd., Baflins Lane, Chichester, West Sussex PO19 1UD, England, 1992, xxvii + 416 pages, ISBN 0-417-85384-4
Contents: Part 1. The vector-space approach 1. Introduction to the vector-space approach to signal processing 2. Discrete linear systems and signals - A vectorspace approach Part 2. Signal recovery 3. Image recovery: A vector-space approach
Elsevier SciencePublishers B.V.
3. Adaptive multisensor detection Allan Steinhardt 4. Minimum variance beamforming Barry Van Veen 5. Beamspace ML bearing estimation for adaptive phased array radar Michael D. Zoltowski 6. The MAP algorithm for direction of arrival estimation in unknown colored noise James P. Reilly and K.M. Wong 7. Adaptive radar parameter estimation with Thomson's multiple-window method A. Drosopoulos and Simon Haykin
4. Image recovery using row-action projection methods 5. The restoration of three-dimensional surfaces from two-dimensional images Part 3. Adaptive signal recovery 6. A vector-space approach to adaptive filtering 7. Adaptive image recovery 8. Adaptive time-varying spectral estimation 9. Communication channel equalization for digital data 10. Adaptive beamforming Part 4. Signal recognition 11. Neural networks 12. Neural tree networks 13. The recognition of multicomponent signals
225
Book alerts "Adaptive Radar Detection and Estimation", ed. by Simon Haykin, Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada and AHan Steinhardt, Department of Electrical Engineering, Cornell University, Ithaca, NY, USA. Publishers: John Wiley & Sons Ltd., Baflins Lane, Chichester, West Sussex PO19 1UD, England, 1992, xiv + 473 pages, ISBN 0-47154468-X Contents: 1. Introduction Simon Haykin and Allan Steinhardt 2. Model-based detection Q.T. Zhang and Simon Haykin
"Computational Methods of Signal Recovery and Recognition", ed. by Richard J. Mammone, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, N J, USA. Publishers: John Wiley & Sons Ltd., Baflins Lane, Chichester, West Sussex PO19 1UD, England, 1992, xxvii + 416 pages, ISBN 0-417-85384-4
Contents: Part 1. The vector-space approach 1. Introduction to the vector-space approach to signal processing 2. Discrete linear systems and signals - A vectorspace approach Part 2. Signal recovery 3. Image recovery: A vector-space approach
Elsevier SciencePublishers B.V.
3. Adaptive multisensor detection Allan Steinhardt 4. Minimum variance beamforming Barry Van Veen 5. Beamspace ML bearing estimation for adaptive phased array radar Michael D. Zoltowski 6. The MAP algorithm for direction of arrival estimation in unknown colored noise James P. Reilly and K.M. Wong 7. Adaptive radar parameter estimation with Thomson's multiple-window method A. Drosopoulos and Simon Haykin
4. Image recovery using row-action projection methods 5. The restoration of three-dimensional surfaces from two-dimensional images Part 3. Adaptive signal recovery 6. A vector-space approach to adaptive filtering 7. Adaptive image recovery 8. Adaptive time-varying spectral estimation 9. Communication channel equalization for digital data 10. Adaptive beamforming Part 4. Signal recognition 11. Neural networks 12. Neural tree networks 13. The recognition of multicomponent signals