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Sparse SVD Method for High-Resolution Extraction of the Dispersion Curves of Ultrasonic Guided Waves
2016
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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LS-SVD and high-resolution sparse SVD results of the synthetic data 12 Figure 3 shows the Norm functions obtained by applying SVD, LS-SVD, and S-SVD ( 1 -norm and 13 Cauchy norm) to the synthetic signals ...
High-resolution sparse SVD based extraction of the dispersion curves 1 The LS-SVD method describes the optimization scheme that could filter the additive noise. ...
doi:10.1109/tuffc.2016.2592688
pmid:27448347
fatcat:7pf7m5bvh5alnokfzmwc4sb7ii
Frequency Estimation Using SAMP-SVD Based on Nyquist Folding Receiver
2016
MATEC Web of Conferences
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and estimate the frequencies accurately. ...
This paper presents an improved algorithm SAMP-SVD based on sparsity adaptive matching pursuit (SAMP) and singular value decomposition (SVD) which is intended to deal with the problem caused by SAMP recovering-the ...
This paper focuses on SAMP because of its efficiency and ease of implementation, and applies SVD to solve the least squares (LS) problem, for a high-accuracy frequency estimation under the condition of ...
doi:10.1051/matecconf/20165605012
fatcat:prokhbptafaldfkmp75b3v6464
DFT Based Channel Estimation Methods for MIMO-OFDM Systems
[chapter]
2011
Vehicular Technologies: Increasing Connectivity
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Simulation results in 802.11n and 3GPP/LTE contexts have illustrated that DFT with a truncated SVD technique and optimized T h is very efficient and can be employed for any MIMO-OFDM system. ...
Hence the combination of MIMO and OFDM techniques (MIMO-OFDM) is logically widely considered in the new generation of standards for wireless transmission (Boubaker et al., 2001) . ...
/books/vehiculartechnologies-increasing-connectivity/dft-based-channel-estimation-methods-for-mimo-ofdm-systems ...
doi:10.5772/15172
fatcat:avbsfywjbze7xhxsszybjhj3km
High-Resolution Spectrum Estimation Methods for Signal Analysis in Power Systems
2000
IFAC Proceedings Volumes
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Both new high-resolution methods show no disadvantages of the traditional tools and allow exact estimation of the interharmonic frequency. ...
In this paper a novel approach to the interharmonic analysis is proposed based on the "subspace" methods. The singular value decomposition was also tested for this purpose. ...
ACKNOWLEDGEMENT The authors would like to thank the Alexander von Humboldt Foundation (Germany) for its financial support (Humboldt Research Award for Prof. T. Lobos). ...
doi:10.1016/s1474-6670(17)37125-2
fatcat:ybb2rzz5djci7gfkqy6c4oxbay
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars
[article]
2021
arXiv
pre-print
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The estimation of signal/noise subspace, as one critical step, is yet computationally complex and presents a particular challenge when developing high-resolution yet low-complexity automotive radars. ...
Subspace methods are essential to high-resolution environment sensing in the emerging unmanned systems, if further combined with the millimeter-wave (mm-Wave) massive multi-input multi-output (MIMO) technique ...
INTRODUCTION For the emerging unmanned aircrafts or vehicles, the high resolution environment sensing is critical to safety and operational efficiency [1] , e.g. collision avoidance, target tracking and ...
arXiv:2101.04570v1
fatcat:vx7lvlluybfhvdqgdvw5xxljny
WLC43-5: Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
2006
IEEE Global Communications Conference, Exhibition, & Industry Forum (GLOBECOM)
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The algorithm is based on an improved rank and subspace adaptive Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). ...
The adaptive ESPRIT is used to efficiently extract the slowly varying time-delays and Doppler frequencies of each ray, followed by a simple rotational update to compute the complex amplitudes. ...
In [6] , we proposed a high-resolution OFDM channel prediction based on 2-step, 1-dimensional frequency estimation using ESPRIT. ...
doi:10.1109/glocom.2006.869
dblp:conf/globecom/WongE06a
fatcat:ticnhcle7rg2dhhqypqed7crc4
Interharmonics in PV systems: A Review of analysis and estimation methods; considerations for selection of an apt method
2019
IET Renewable Power Generation
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A comprehensive reviewing of existing interharmonic analysis and estimation methodologies irrespective of application is carried out. ...
This study is enlisting the characteristics of an appropriate method to analyse and estimate interharmonics in photovoltaic (PV) systems, and linking these characteristics with the features of the reviewed ...
Linear LS method and SVD: This method uses the technique of SVD for the estimation of interharmonics in the presence of high noise. ...
doi:10.1049/iet-rpg.2018.5697
fatcat:gu7wfteeqfdybelzwxpvltnina
Spatial And Temporal Processing Of Cyclostationary Signals In Array Antennas Based On Linear Prediction Model
1998
Zenodo
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In this paper, a new approach is proposed for the estimating DOA of cyclos tationary signal that utilizes a linear prediction (LP) technique. ...
[2] , because of their high-resolution. ...
doi:10.5281/zenodo.36674
fatcat:3we47ketxbd7rfdkbh4ngi3axe
Subspace-based parameter estimation of exponentially damped sinusoids using prior knowledge of frequency and phase
1997
Signal Processing
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Subspace-based parameter estimators, like HTLS in nuclear magnetic resonance spectroscopy, are efficient and accurate in estimating parameters of a sum of exponentially damped sinusoids. ...
But they suffer from a serious drawback that little prior knowledge can be incorporated which is important for the resolution and accuracy. ...
The authors would like to thank Dirk van Ormondt for having brought the subject to their attention, ...
doi:10.1016/s0165-1684(97)00085-6
fatcat:4mpwvfnrznfbhjzrzxs7mgv5vi
Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden
1995
IEEE Transactions on Signal Processing
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ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of a sensor array. ...
Here, we present a simple and efficient method to constrain the estimated phase factors to the unit circle, if centro-symmetric array configurations are used. ...
Viberg, Gothenburg, Sweden, for his helpful comments regarding the contents of this paper. ...
doi:10.1109/78.382406
fatcat:hzwbipb22ffvfejrpq4cpmvoyu
Power system harmonics estimation using linear least squares method and SVD
2001
IEE Proceedings - Generation Transmission and Distribution
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The paper examines singular value decomposition (SVD) for the estimation of harmonics in signals in the presence of high noise. The proposed approach results in a linear least squares method. ...
The SVD approach is a numerical algorithm to calculate the linear least squares solution. The methods can also be applied for frequency estimation of heavy distorted periodical signals. ...
Acknowledgment The authors would like to thank the Alexander von Humboldt Foundation (Germany) for its financial support (The Humboldt Research Award for Prof. T. Lobos). ...
doi:10.1049/ip-gtd:20010563
fatcat:6idg2ub4c5af3eu5umbyfbqwoy
Decimative Spectral Estimation with Unconstrained Model Order
2012
Computational and Mathematical Methods in Medicine
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This paper presents a new state-space method for spectral estimation that performs decimation by any factor, it makes use of the full set of data and brings further apart the poles under consideration, ...
It is compared against two previously proposed techniques for spectral estimation (along with derived decimative versions), that lie among the most promising methods in the field of spectroscopy, where ...
Alternatively, when the frequencies are clustered together one faces the so-called "high resolution" scenario described in [9] . The Proposed Method in the Presence of Noise. ...
doi:10.1155/2012/917695
pmid:22461845
pmcid:PMC3296265
fatcat:wqlaz4oyarfv5mbfdx6m6ov5oi
Structured least squares to improve the performance of ESPRIT-type algorithms
1997
IEEE Transactions on Signal Processing
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ESPRIT-type (spatial) frequency estimation techniques obtain their frequency estimates from the solution of a highly structured, overdetermined system of equations (the so-called invariance equation). ...
Structured least squares (SLS) is a new algorithm that solves the invariance equation by preserving its structure. ...
INTRODUCTION Modern subspace-based high-resolution frequency or direction of arrival (DOA) estimation schemes can be classified according to the numerical procedure they exploit into [12] : • extrema-searching ...
doi:10.1109/78.558508
fatcat:jnvnxwg6lfg4fltufwmykajrlu
Methodological Survey on Fetal ECG Extraction
2014
Journal of Health & Medical Informatics
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Therefore Fetal Electrocardiogram should be extracted from composite Abdominal Electrocardiogram for clinical diagnosis. There are many powerful and well advanced methods for this purpose. ...
Fetal Electrocardiogram (FECG) signal, non-invasively taken from the Abdominal Electrocardiogram (AECG) of a pregnant woman is an efficient diagnostic tool for evaluating the health status of foetus. ...
-Relatively high SNR. Kalman Filtering -Real time implementation is possible but complex. -Efficiency is high. SVD,PCA -Overall performance is low. -Relatively SNR is low. ...
doi:10.4172/2157-7420.1000169
fatcat:yylfbjadgngxtljrmhb757hpi4
Approximate Subspace-Based Iterative Adaptive Approach for Fast Two-Dimensional Spectral Estimation
2014
IEEE Transactions on Signal Processing
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Computer simulations are also included to compare the proposed approach with the state-of-the-art techniques in terms of resolution probability, spectral estimation performance and computational requirement ...
Algorithms based on matrix and tensor operations are developed, and their implementation complexities are analyzed. ...
Typically, very large values of and are needed to achieve high resolution performance. ...
doi:10.1109/tsp.2014.2320460
fatcat:lq5bpip2qfhbjhcpimqzm3mm6u
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