Compressed Sensing & Sparse Filtering
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Schriftenreihe: | Signals and Communication Technology
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| Schlagworte: | |
| Online-Zugang: | DE-634 DE-Aug4 DE-573 DE-92 DE-898 DE-859 DE-861 DE-863 DE-862 DE-706 Volltext Inhaltsverzeichnis Abstract |
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Inhaltsangabe:
- Introduction to Compressed Sensing and Sparse Filtering
- The Geometry of Compressed Sensing
- Sparse Signal Recovery with Exponential-Family Noise
- Nuclear Norm Optimization and its Application to Observation Model Specification
- Nonnegative Tensor Decomposition
- Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks
- Sparse Nonlinear MIMO Filtering and Identification
- Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation
- Compressive System Identification
- Distributed Approximation and Tracking using Selective Gossip
- Recursive Reconstruction of Sparse Signal Sequences
- Estimation of Time-Varying Sparse Signals in Sensor Networks
- Sparsity and Compressed Sensing in Mono-static and Multi-static Radar Imaging
- Structured Sparse Bayesian Modelling for Audio Restoration
- Sparse Representations for Speech Recognition