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SAR imaging via modern 2-D spectral estimation methods
1998
IEEE Transactions on Image Processing
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It provides a synopsis of the algorithms available, discusses their relative merits for SAR imaging, and illustrates their performance on simulated and collected SAR imagery. ...
All of these interferometric variants are new. In the interferometric context, adaptive spectral estimation can improve the height estimates through a combination of adaptive nulling and averaging. ...
ACKNOWLEDGMENT The author wishes to thank Wright Laboratory for providing DCS SAR data of the ships near Toledo, OH, and DCS fully polarimetric IFSAR data of the area around the University of Michigan ...
doi:10.1109/83.668029
pmid:18276288
fatcat:w7xej3vpffegrflsitjkkvy2tq
Design of an automated system for detection and classification of power quality disturbances
2015
2015 5th International Conference on Computer and Knowledge Engineering (ICCKE)
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Here a new modified version of Hilbert Huang Transform (HHT) has been proposed for feature extraction. This version is combination of CEEMD and Hilbert Transform. ...
The performance of the proposed method is compared with classical algorithms like HHT and MHHT (Modified HHT). Experimental results demonstrate the efficiency of the proposed method. ...
CEEMD CEEMD is an adaptive and non-linear signal processing method that is a modifIed version of EMD and EEMD [16] . ...
doi:10.1109/iccke.2015.7365824
fatcat:h2q6ile2bnbg7dmxr6amur6ytq
An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances
2018
Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi
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Voltage signals (sag, swell, interruption, transient and normal) used in the classification of PQ disturbances were recorded from grid with the aid of a microcontroller based on device designed with a ...
Classification by ANN and ANFIS through the use of conjecture parameters in PQ disturbances based on DWT Method has been recommended. ...
This method is a time frequency technique to decompose based on information content of the signal using the adaptive wavelet. ...
doi:10.29137/umagd.350231
fatcat:c3ukuxh4ybfo3gyki5mv52ldtq
Adaptive spatial filtering of multichannel surface electromyogram signals
2004
Medical and Biological Engineering and Computing
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For signals with low signal-to-noise ratio it is important to limit the integration intervals in the mean frequency calculations. ...
A method that could estimate the location of this zone was presented in one study. The mean frequency of the EMG signal is often used to estimate muscle fatigue. ...
Acknowledgements This dissertation was carried out at the Department of Biomedical Engineering and Informatics at the University Hospital in Umeå. ...
doi:10.1007/bf02345217
pmid:15587475
fatcat:f4x4opmnenh35gif6rkpat3n6a
A Survey with Emphasis on Adaptive filter, Structure, LMS and NLMS Adaptive Algorithm for Adaptive Noise Cancellation System
2017
Journal of Engineering Science and Technology Review
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This paper mainly focused on adaptive filter, and its structure, the Least Mean Square Algorithm (LMS) and Normalized Least Mean Square Algorithm (NLMS), used for noise cancellation. ...
The field of adaptive signal processing has been matter of research for over 50-60 years. ...
This was done by utilizing least square kurtosis of output signals as a cost function; the new gradient-based algorithm updates the frequency of the adaptive IIR notch filter. ...
doi:10.25103/jestr.102.18
fatcat:potynxb2kjgundzmdxkpldktqi
2020 Index IEEE Transactions on Signal Processing Vol. 68
2020
IEEE Transactions on Signal Processing
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., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP ...
., +, TSP 2020 3146-3157 Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. Rao-Based Detectors for AdaptiveTargetDetection in the Presence of Signal-Dependent Interference. ...
., TSP 2020 6481-6492
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. ...
doi:10.1109/tsp.2021.3055469
fatcat:6uswtuxm5ba6zahdwh5atxhcsy
Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System
2016
Sensors
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frequency from three discrete Fourier transform (DFT) samples with little additional computation, and finally computes the amplitudes and phases with the adaptive linear neuron network. ...
The experiments show that the proposed method is time-efficient and leads to a better accuracy of the simulated and experimental signals in the presence of noise and fundamental frequency deviation, thus ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s16070946
pmid:27355946
pmcid:PMC4970000
fatcat:ymn3wny7ejblhaa2sp23njssze
Multiaxial Fatigue Spectrum Editing by Using Combined Wavelet Analysis and Stress Invariant Approach
2018
MATEC Web of Conferences
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The method is based on projection by projection (PbP) technique and wavelet transform analysis (WTA) procedure. ...
The result shows an average of 75% reduction of the original spectrums with retention of 90% of the original spectrums' damage values. ...
The proposed approach is based on the combination of the time-frequency signal analysis procedure, and stress invariant based multiaxial fatigue criterion for fatigue crack initiation damage. ...
doi:10.1051/matecconf/201816516009
fatcat:s7yuwvx6wrat3me2ddmyx7ehui
A survey on active noise control techniques – Part I: Linear systems
[article]
2021
arXiv
pre-print
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Linear ANC algorithms, including the celebrated filtered-x least-mean-square (FxLMS)-based algorithms and distributed ANC algorithms, are investigated and evaluated. ...
This paper focuses on discussing the development of ANC techniques over the past decade. ...
Acknowledgment The authors would like to thank the associate editor and the anonymous referees for their valuable comments.
References ...
arXiv:2110.00531v1
fatcat:zehdcbafh5d5rh6zldeo6u66du
Nonlinear Independent Component Analysis: Theoretical Review And Applications
2007
Learning and Nonlinear Models
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The uniqueness of solution and some algorithms for estimating the nonlinear independent components are discussed. Experimental results using a synthetic database are used for performance comparison. ...
An overview of the main statistical principles that guide the search for the independent components is formulated. ...
The authors also thank the ATLAS Trigger/DAQ collaboration at CERN for providing the simulation calorimeter data set used in this work and for fruitful discussions concerning the nonlinear ICA application ...
doi:10.21528/lnlm-vol5-no2-art3
fatcat:c3hmvhn5ebbx7ila4atxujz4w4
A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing
2017
Machines
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The number of studies on slew bearing condition monitoring and early failure detection based on vibration analysis is lower than for rolling element bearing. ...
The literature study of existing research, related to feature extraction methods or algorithms in a wide range of applications such as vibration analysis, time series analysis and bio-medical signal processing ...
Acknowledgments: Wahyu Caesarendra thanks the University of Wollongong, Australia for the financial support through International Postgraduate Research Scholarship (IPRS) during this study. ...
doi:10.3390/machines5040021
fatcat:3ivzkuufbbgvpgy5qsqatlmkvi
Fault Diagnosis and Prognosis of Mechatronic Systems Using Artificial Intelligence and Estimation Theory
2022
Electronics
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Industrial processes, manufacturing systems, transportation systems, and related mechatronic systems are becoming more and more complex and may fail, affecting the reliability, safety, and quality of industrial ...
Acknowledgments: We would like to thank all the researchers who submitted articles to this Special Issue for their outstanding contributions, as well as all the reviewers of the presented research papers ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics11213528
fatcat:qvusmsexfjf2radkbhqmmx37ky
Radio Frequency Interference Excision Using Spectral‐Domain Statistics
2007
Publications of the Astronomical Society of the Pacific
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A radio frequency interference (RFI) excision algorithm based on spectral kurtosis, a spectral variant of time-domain kurtosis, is proposed and implemented in software. ...
The performance of the algorithm is theoretically evaluated for different time-domain RFI characteristics and signal-to-noise ratios h. ...
The DFT coefficients obtained from a windowed stationary time-domain Gaussian signal can be regarded as corre-{x } n sponding to a nonwindowed DFT of a modified time sequence , which, being a linear combination ...
doi:10.1086/520938
fatcat:mvoaykfwgjenreemii7nid665e
Atrial Activity Extraction for Atrial Fibrillation Analysis Using Blind Source Separation
2004
IEEE Transactions on Biomedical Engineering
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We demonstrate that the AA source can be identified using a kurtosis-based reordering of the separated signals followed by spectral analysis of the sub-Gaussian sources. ...
2) AA and VA present non-Gaussian distributions; and 3) the generation of the surface ECG potentials from the cardioelectric sources can be regarded as a narrow-band linear propagation process. ...
García Civera, from the Electrophysiology Laboratory of the Universitary Clinical Hospital of Valencia, Spain, for their clinical advice and kind help in obtaining the signals. ...
doi:10.1109/tbme.2004.827272
pmid:15248534
fatcat:muq44jmkinc6hd3jvhv7bc6fje
A Comprehensive Noise Robust Speech Parameterization Algorithm Using Wavelet Packet Decomposition-Based Denoising and Speech Feature Representation Techniques
2007
EURASIP Journal on Advances in Signal Processing
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A new modified soft thresholding algorithm based on time-frequency adaptive threshold determination was developed to efficiently reduce the level of additive noise in the input noisy speech signal. ...
The adaptive topology of the wavelet packet decomposition tree based on voiced/unvoiced detection was introduced to separately analyze voiced and unvoiced segments of the speech signal. ...
One of the objectives of the proposed noise ro-bust speech parameterization procedure is also the development of a computationally efficient improved alternativea denoising algorithm based on modified ...
doi:10.1155/2007/64102
fatcat:cefcmvdbkzh3hmsscfgmpmqbz4
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