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2010

421views Artificial Intelligence» more TSP 2010»

Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms

13 years 6 months ago

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We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...

Avishy Carmi, Pini Gurfil, Dimitri Kanevsky

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Id	Views	Title	Status

1	421	Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms	claim
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3	273	Decentralized sparse signal recovery for compressive sleeping wireless sensor networks	claim
4	267	Time-delay estimation from low-rate samples: a union of subspaces approach	claim
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7	212	Complex Gaussian scale mixtures of complex wavelet coefficients	claim
8	211	A Doppler robust max-min approach to radar code design	claim
9	206	Block-sparse signals: uncertainty relations and efficient recovery	claim
10	204	Algebraic signal processing theory: sampling for infinite and finite 1-D space	claim
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12	201	An adaptive cooperation diversity scheme with best-relay selection in cognitive radio networks	claim
13	200	Generalized discrete Fourier transform with nonlinear phase	claim
14	200	Distributed spectrum sensing for cognitive radio networks by exploiting sparsity	claim
15	198	Double sparsity: learning sparse dictionaries for sparse signal approximation	claim
16	198	Analysis of the Stereophonic LMS/Newton Algorithm and Impact of Signal Nonlinearity on Its Convergence Behavior	claim
17	195	Adaptive sampling rate correction for acoustic echo control in voice-over-IP	claim
18	194	Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds	claim
19	193	Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary	claim
20	193	Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers	claim
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36	174	Estimating multiple frequency-hopping signal parameters via sparse linear regression	claim
37	173	Distributed sparse linear regression	claim
38	173	Distributed consensus with quantized data via sequence averaging	claim
39	172	Beamforming and rate allocation in MISO cognitive radio networks	claim
40	171	Multichannel fast QR-decomposition algorithms: weight extraction method and its applications	claim
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43	170	Independent component analysis by entropy bound minimization	claim
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45	168	A study of the LCMV and MVDR noise reduction filters	claim
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48	166	Distributed estimation of channel gains in wireless sensor networks	claim
49	163	Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing	claim
50	160	A low complexity blind estimator of narrowband polynomial phase signals	claim
51	157	Communications-inspired sensing: a case study on waveform design	claim
52	157	The acoustic vector-sensor's near-field array-manifold	claim
53	157	Joint detection and estimation of multiple objects from image observations	claim
54	157	LS-CS-residual (LS-CS): compressive sensing on least squares residual	claim
55	156	Improved interference cancellation scheme for two-user detection of alamouti code	claim
56	156	Compressed sensing performance bounds under Poisson noise	claim
57	156	Low complexity equalization for doubly selective channels modeled by a basis expansion	claim
58	156	ARMA signals with specified symmetric marginal probability distribution	claim
59	155	DOA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: a Khatri-Rao subspace approach	claim
60	154	Blind separation of Gaussian sources with general covariance structures: bounds and optimal estimation	claim
61	154	Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios	claim
62	154	Channel estimation in wireless OFDM systems with irregular pilot distribution	claim
63	154	Sampling from a system-theoretic viewpoint part II: noncausal solutions	claim
64	154	A deflation procedure for subspace decomposition	claim
65	154	Dynamic spectrum management with the competitive market model	claim
66	153	Greedy gossip with eavesdropping	claim
67	152	Blind recognition of linear space-time block codes: a likelihood-based approach	claim
68	152	Noisy data and impulse response estimation	claim
69	151	Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar	claim
70	150	Joint time synchronization and localization of an unknown node in wireless sensor networks	claim
71	149	A multi-resolution hidden Markov model using class-specific features	claim
72	149	Linear precoder design through cut-off rate maximization in MIMO-OFDM coded systems with imperfect CSIT	claim
73	149	Sampling piecewise sinusoidal signals with finite rate of innovation methods	claim
74	149	On optimum regenerative relaying with imperfect channel knowledge	claim
75	148	On entropy rate for the complex domain and its application to i.i.d. sampling	claim
76	148	Online adaptive estimation of sparse signals: where RLS meets the l1-norm	claim
77	146	On the shiftability of dual-tree complex wavelet transforms	claim
78	146	MIMO cognitive radio: a game theoretical approach	claim
79	145	Analytical Footprints: Compact Representation of Elementary Singularities in Wavelet Bases	claim
80	144	Gaussian multiresolution models: exploiting sparse Markov and covariance structure	claim
81	144	Improved dual decomposition based optimization for DSL dynamic spectrum management	claim
82	143	Benefits of position-sensitive detectors for radioactive source detection	claim
83	143	Single antenna power measurements based direction finding	claim
84	141	Near optimal iterative channel estimation for KSP-OFDM	claim
85	141	Channel energy based estimation of target trajectories using distributed sensors with low communication rate	claim
86	141	Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra	claim
87	140	A dual perspective on separable semidefinite programming with applications to optimal downlink beamforming	claim
88	140	Doubly selective channel estimation using exponential basis models and subblock tracking	claim
89	140	Energy efficient state estimation with wireless sensors through the use of predictive power control and coding	claim
90	140	Distributed sampling of signals linked by sparse filtering: theory and applications	claim
91	140	MIMO transceivers with decision feedback and bit loading: theory and optimization	claim
92	140	Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus	claim
93	139	Power allocation for a MIMO relay system with multiple-antenna users	claim
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95	138	Dynamic multichannel access with imperfect channel state detection	claim
96	138	Adaptive relaying in noncoherent cooperative networks	claim
97	137	Coherence-based performance guarantees for estimating a sparse vector under random noise	claim
98	137	Learning Gaussian tree models: analysis of error exponents and extremal structures	claim
99	136	Resource allocation for downlink cellular OFDMA systems: part I: optimal allocation	claim
100	135	Optimized analog flat filter design	claim
101	135	Uplink synchronization in OFDMA spectrum-sharing systems	claim
102	134	On the sensitivity of the MIMO Tomlinson-Harashima precoder with respect to channel uncertainties	claim
103	133	Optimality of beamforming for MIMO multiple access channels via virtual representation	claim
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105	132	Power allocation in orthogonal wireless relay networks with partial channel state information	claim
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107	131	Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes	claim
108	131	On scalable distributed coding of correlated sources	claim
109	131	Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems	claim
110	130	Localization in underwater dispersive channels using the time-frequency-phase continuity of signals	claim
111	130	A continuous-time linear system identification method for slowly sampled data	claim
112	129	Cognitive radios with multiple antennas exploiting spatial opportunities	claim
113	129	Welch method revisited: nonparametric power spectrum estimation via circular overlap	claim
114	128	Generalized adaptive notch smoothing revisited	claim
115	128	On local intrinsic dimension estimation and its applications	claim
116	127	Adaptive precoding for downstream crosstalk precancelation in DSL systems using sign-error feedback	claim
117	127	Selection policy-induced reduction mappings for Boolean networks	claim
118	126	Systematic construction of real lapped tight frame transforms	claim
119	126	Markov chain monte carlo detectors for channels with intersymbol interference	claim
120	126	Compress-and-forward cooperative MIMO relaying with full channel state information	claim
121	126	Steady-state MSE performance analysis of mixture approaches to adaptive filtering	claim
122	125	Multichannel deconvolution of seismic signals using statistical MCMC methods	claim
123	123	Accuracy comparison of LS and squared-range LS for source localization	claim
124	123	Recovering signals from lowpass data	claim
125	123	MIMO transceiver optimization with linear constraints on transmitted signal covariance components	claim
126	123	Timing estimation and resynchronization for amplify-and- forward communication systems	claim
127	123	Cyclic prefix based enhanced data recovery in OFDM	claim
128	122	Shrinkage algorithms for MMSE covariance estimation	claim
129	121	Ziv-Zakai Time-Delay Estimation Bounds for Frequency-Hopping Waveforms Under Frequency-Selective Fading	claim
130	120	On the optimal performance in asymmetric gaussian wireless sensor networks with fading	claim
131	120	Author's reply to "comments on 'variable explicit regularization in affine projection algorithm: robustness issues and optimal choice' "	claim
132	119	Universal randomized switching	claim
133	119	Low-complexity decoding via reduced dimension maximum-likelihood search	claim
134	119	Noninvertible gabor transforms	claim
135	119	Quasi-interpolation by means of filter-banks	claim
136	118	Frequency domain channel estimation for cooperative communication networks	claim
137	118	Shifting inequality and recovery of sparse signals	claim
138	117	Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints	claim
139	117	Reducing front-end bandwidth may improve digital GNSS receiver performance	claim
140	117	On the distortion exponents of layered broadcast transmission in multi-relay cooperative networks	claim
141	117	Distributed detection of multi-hop information flows with fusion capacity constraints	claim
142	117	Estimation of ambiguity functions with limited spread	claim
143	116	A linear fractional semidefinite relaxation approach to maximum-likelihood detection of higher-order QAM OSTBC in unknown channels	claim
144	115	Source extraction by maximizing the variance in the conditional distribution tails	claim
145	114	Modeling and identification of nonlinear systems in the short-time fourier transform domain	claim
146	114	Rate distortion bounds on passive sonar performance	claim
147	114	SNR estimation for multilevel constellations using higher-order moments	claim
148	113	Transient and steady-state analysis of the affine combination of two adaptive filters	claim
149	113	Performance analysis of reconstruction techniques for frequency-domain optical-coherence tomography	claim
150	112	Reduced feedback schemes using random beamforming in MIMO broadcast channels	claim
151	111	Radial function based kernel design for time-frequency distributions	claim
152	111	Performance of instantaneous frequency rate estimation using high-order phase function	claim
153	111	A nondata-aided SNR estimation technique for multilevel modulations exploiting signal cyclostationarity	claim
154	110	Testing stationarity with surrogates: a time-frequency approach	claim
155	109	Generalized triangular decomposition in transform coding	claim
156	108	Passive range-difference estimation in a dispersive medium	claim
157	108	Detection of spatially correlated Gaussian time series	claim
158	108	A new parametric GLRT for multichannel adaptive signal detection	claim
159	107	Design of regular wavelets using a three-step lifting scheme	claim
160	107	MIMO radar waveform design via alternating projection	claim
161	106	A quaternion widely linear adaptive filter	claim
162	106	A recursive method for the approximation of LTI systems using subband processing	claim
163	105	Reply to "Comments on 'The discrete periodic radon transform'"	claim
164	105	Preamble-based channel estimation for CP-OFDM and OFDM/OQAM systems: a comparative study	claim
165	105	Reducing the waveform cross correlation of MIMO radar with space: time coding	claim
166	104	Space-time block coding for doubly-selective channels	claim
167	103	User selection criteria for multiuser systems with optimal and suboptimal LR based detectors	claim
168	103	Robust nonparametric cyclic correlation-based spectrum sensing for cognitive radio	claim
169	100	A robust method to count and locate audio sources in a multichannel underdetermined mixture	claim
170	100	Zero-forcing DFE transceiver design over slowly time-varying MIMO channels using ST-GTD	claim
171	98	Sampling from a system-theoretic viewpoint part I: concepts and tools	claim
172	97	A subband adaptive iterative shrinkage/thresholding algorithm	claim
173	97	Efficient estimation of a narrow-band polynomial phase signal impinging on a sensor array	claim
174	97	Multiple-antenna multicasting using channel orthogonalization and local refinement	claim
175	94	Robust distributed source coder design by deterministic annealing	claim
176	92	Some aspects of band-limited extrapolations	claim
177	87	Least-squares design of DFT filter-banks based on allpass transformation of higher order	claim
178	87	Subspace-based rational interpolation of analytic functions from phase data	claim
179	81	Unbiased model combinations for adaptive filtering	claim

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