Advances in Heuristic Signal Processing and Applications
There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters
- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization
- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions
- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks
- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems
- Chap. 7: Iterative Design of FIR Filters
- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design
- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization
- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation
- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter
- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification
- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging
- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation
- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform
- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.