A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
Filters
Adaptive discovery of sparse signals in noise
2008
2008 42nd Asilomar Conference on Signals, Systems and Computers
Preserved Fulltext
A multi-step adaptive resampling procedure is proposed, and shown to be an effective approach when detecting high-dimensional sparse signals in noise. ...
Large-sample analysis shows that for the sparse signal detection problems considered, the proposed adaptive sensing procedure outperforms the best possible detection methods based on non-adaptive sensing ...
In general, we have shown that a simple adaptive procedure provably outperforms all non-adaptive sampling techniques when detecting sparse signals in additive noise. ...
doi:10.1109/acssc.2008.5074721
fatcat:n3qmz2oy3nfkha57ine2ocga3y
Distilled sensing for sparse recovery
2010
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This adaptivity in sensing results in rather surprising gains in sparse signal recoverydramatically weaker sparse signals can be recovered using DS compared with conventional non-adaptive sensing procedures ...
A selective sampling procedure called distilled sensing (DS) is proposed, and shown to be an effective method for recovering sparse signals in noise. ...
Acknowledgement The authors wish to thank Jiashun Jin for discussing the details of his work with them. ...
doi:10.1121/1.3384822
fatcat:3iasjjbxhnhn3k37fgonwrvc2e
Multichannel active noise control for spatially sparse noise fields
2016
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The work of J.Z. was sponsored by the China Scholarship Council with the Australian National University. ...
Acknowledgment This work is supported by Australian Research Council (ARC) Discovery Projects funding scheme (project no. DP140103412). ...
Hence the adaptive weights of the Leaky-MC algorithm are updated as dðn þ 1Þ ¼ ð1 À lqÞdðnÞ À lG H eðnÞ:
Sparsity constrained adaptive ANC In this section, we exploit the sparse nature of the noise sources ...
doi:10.1121/1.4971878
pmid:28040042
fatcat:hnx3xjxdxbajffxcpljz4fa2mu
Sparse complex FxLMS for active noise cancellation over spatial regions
2016
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we investigate active noise control over large 2D spatial regions when the noise source is sparsely distributed. ...
Simulation results demonstrate the performance and advantages of the proposed methods in terms of convergence rate and spatial noise reduction levels. ...
Given the fact that most of the time, noise is unknown and timevarying, adaptive filters are employed to produce anti-noise signals. ...
doi:10.1109/icassp.2016.7471730
dblp:conf/icassp/ZhangASZJ16
fatcat:s7o3yemhybhj5bbebiu65quoqq
Finding needles in noisy haystacks
2008
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles in haystacks), provided ...
Consequently, the ability of compressed sensing to locate sparse components degrades significantly as noise increases. ...
The data in Table 1 suggest that the adaptive procedure sequentially identifies true components of the signal, and the number of observations for each discovery depends on the SNR. ...
doi:10.1109/icassp.2008.4518814
dblp:conf/icassp/CastroHNR08
fatcat:niea67ztxbgfxjqwqutcmp2zb4
Sparse identification of nonlinear dynamics for rapid model recovery
2018
Chaos
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Big data has become a critically enabling component of emerging mathematical methods aimed at the automated discovery of dynamical systems, where first principles modeling may be intractable. ...
In this work, we propose a conceptual framework to recover parsimonious models of a system in response to abrupt changes in the low-data limit. ...
ACKNOWLEDGEMENTS MQ was supported by a fellowship within the FITweltweit program of the German Academic Exchange Service (DAAD). ...
doi:10.1063/1.5027470
pmid:29960401
fatcat:brpma6ohwbgxpamjc3nelboioa
Adaptive Sparse Recovery of Medical Images with Variational Approach – Preliminary Study for CT Stroke
[chapter]
2014
Advances in Intelligent Systems and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Previously studied nonlinear approximation of the sparse signals in adjusted dictionaries was extended with variational approach to extract more precisely the content components. ...
Extracted and visualized information covered in sensed data of imaging systems supports interpretation according to "second look" procedure. ...
Stable signal recovery in noise is possible under a variety of common noise models, e.g. uniformly bounded noise or Gaussian noise. ...
doi:10.1007/978-3-319-06593-9_14
fatcat:o24s5f4wejbjbka4r4u7isxwfm
Introduction to the Issue on Compressive Sensing
2010
IEEE Journal on Selected Topics in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
the field of compressive sensing, working on both algorithms for sparse signal reconstruction and the mathematical justification for these methods. ...
algorithms can be reliably successful, despite the presence of huge numbers of local minima. ...
Examples in this issue include modifications for dealing with wideband analog signals, measurements or signals with impulse noise, an adaptive filter approach to reconstruction, reconstruction methods ...
doi:10.1109/jstsp.2010.2043892
fatcat:cyqiuhsocrgvzhx62xgrq5cpsu
New Trends in Biologically-Inspired Audio Coding
[chapter]
2010
Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We show that the introduction of adaptiveness in the selection of gammachirp kernels enhances the compression rate compared to the case where the kernels are non-adaptive. ...
We finally propose a method to extract frequent auditory objects (patterns) in the aforementioned sparse representations. ...
Signal-to-Noise Ratio A sparse coding scheme can increase the signal-to-noise ratio (Field, 1994) . ...
doi:10.5772/8529
fatcat:utucwxa7cvgfjjrje3332upl2y
Connectivity Investigation of Channel Quality-Based Adaptive Gossip Flooding Mechanism for AODV
2020
International Journal of Engineering and Technology Innovation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In the earlier work, Gossip flooding mechanism of Haas et.al. was extended with signal quality, to propose channel quality based adaptive gossip flooding mechanism for AODV (CQAG-AODV). ...
Results show that, by accounting the signal strength in the route discovery process, not only does the proposed algorithm floods a lesser number of route requests and controls the broadcast storm, but ...
As discussed in previous sections, in the route discovery of CQAG-AODV, RREQs are flooded following adaptive gossip approach, where the gossip probability is decided on the basis of channel quality. ...
doi:10.46604/ijeti.2020.3812
fatcat:emdhlwgidzhrrbmxbcp3is7hwi
Improved bounds for sparse recovery from adaptive measurements
2010
2010 IEEE International Symposium on Information Theory
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
It is shown here that adaptivity in sampling results in dramatic improvements in the recovery of sparse signals in white Gaussian noise. ...
An adaptive sampling-and-refinement procedure called distilled sensing is discussed and analyzed, resulting in fundamental new asymptotic scaling relationships in terms of the minimum feature strength ...
sparse signals. ...
doi:10.1109/isit.2010.5513489
dblp:conf/isit/HauptCN10
fatcat:qdv64jqzrvednkbsnny6mkyfuy
Thresholding Greedy Pursuit for Sparse Recovery Problems
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We demonstrate that an appropriate choice of thresholding parameter, even without the knowledge of sparsity level of the signal and strength of the noise, can result in exact recovery with no false discoveries ...
We study here sparse recovery problems in the presence of additive noise. We analyze a thresholding version of the CoSaMP algorithm, named Thresholding Greedy Pursuit (TGP). ...
We are grateful to Anna Gilbert for suggesting to apply the conjugate gradient approach of CoSaMP to design of an iterative algorithm to solve Square-Root LASSO. ...
arXiv:2103.11893v1
fatcat:uv2rcjdys5gbvhh5olexs5j7wi
Compressed Sensing Adaptive Speech Characteristics Research
2014
Sensors & Transducers
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The sparsity of the speech signals is utilized in the DCT domain. ...
According to the characteristics of the voice which may be separated into voiceless and voiced one, an adaptive measurement speech recovery method is proposed in this paper based on compressed sensing. ...
discovery, location and access information technology research (NO: 2014FJ3040)". ...
doaj:63722022ffef4b39a4a6785df458c9c5
fatcat:b6vqha3rfjabrf2xfk5rjahcge
Compressed Neighbour Discovery using Sparse Kerdock Matrices
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We study the network-wide neighbour discovery problem in wireless networks in which each node in a network must discovery the network interface addresses (NIAs) of its neighbours. ...
We propose sparse Kerdock matrices as codebooks for the neighbour discovery problem. ...
CN (0, 1) random variables and γ is the average channel gain in the SNR. Any signal received from non-neighbouring nodes is accounted for by the noise. ...
arXiv:1801.04537v1
fatcat:i5ki6gp6nzcmxlw76dalh3nzxi
Foveated Time Stretch
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We introduce this concept and discuss its potential application to encryption and context-aware detection of weak signals in noisy environments. ...
Given prior knowledge of the spectral statistics, the SNR of optical waveforms can be manipulated in a reversible manner. ...
This represents a new type of sparse sampling that operates in real-time (in contrast to conventional sparse sampling that requires multiple measurements followed by iterative algorithms for signal reconstruction ...
arXiv:1805.00143v1
fatcat:7yplmzuinvegbphd6e4fyctixm
« Previous
Showing results 1 — 15 out of 25,471 results