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Sparse SVD Method for High-Resolution Extraction of the Dispersion Curves of Ultrasonic Guided Waves

Kailiang Xu, Jean-Gabriel Minonzio, Dean Ta, Bo Hu, Weiqi Wang, Pascal Laugier
2016 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
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

Jun Wang, Sujuan Chen, Kaili Jiang, Bin Tang, M. Kavakli, M.J.E. Salami, A. Amini, M.A.B.M. Basri, A.B. Masli, S.C.H. Li, M. Pal
2016 MATEC Web of Conferences  
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]

Moussa Diallo, Maryline Helard, Laurent Cariou, Rodrigue Rabineau
2011 Vehicular Technologies: Increasing Connectivity  
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

H.-J. Koglin, Z. Leonowicz, T. Lobos
2000 IFAC Proceedings Volumes  
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]

Li Bin and Wang Shuseng and Zhang Jun and Cao Xianbin and Zhao Chenglin
2021 arXiv   pre-print
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

Ian C. Wong, Brian L. Evans
2006 IEEE Global Communications Conference, Exhibition, & Industry Forum (GLOBECOM)  
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

Vineetha Ravindran, Sarah Ronnberg, M Bollen
2019 IET Renewable Power Generation  
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

Ami Kanazawa, Hiroyuki Tsuji, Jingmin Xin, Blagovest Shishkov
1998 Zenodo  
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

Hua Chen, Sabine Van Huffel, Ad van den Boom, Paul van den Bosch
1997 Signal Processing  
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

M. Haardt, J.A. Nossek
1995 IEEE Transactions on Signal Processing  
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

T. Lobos, T. Kozina, H.-J. Koglin
2001 IEE Proceedings - Generation Transmission and Distribution  
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

Stavroula-Evita Fotinea, Ioannis Dologlou, Stylianos Bakamidis, Theologos Athanaselis
2012 Computational and Mathematical Methods in Medicine  
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

M. Haardt
1997 IEEE Transactions on Signal Processing  
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

Kumar SS Anisha M
2014 Journal of Health & Medical Informatics  
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  
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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