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Dual channel speech enhancement using particle swarm optimization

Dalal Hamza, Tariq Tashan
<span title="2021-08-01">2021</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trvfti3jm5hnxhei7rl7owpcqq" style="color: black;">Indonesian Journal of Electrical Engineering and Computer Science</a> </i> &nbsp;
In contrast to the recent and conventional adaptive noise cancellation methods, the simulation results indicate that the proposed algorithm has better capability of noise cancelation.  ...  In general, various adaptive filter algorithms are used, many of which can lack the stability to handle the convergence rate, the number of filter coefficient variations, and error accuracy within tolerances  ...  [22] claimed improvement in SNR about 24 dB, when using a hybrid of PSO and gravitational search algorithm (GSA), which referred as PSOGSA, claiming better background noise reduction of the noisy input  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v23.i2.pp821-828">doi:10.11591/ijeecs.v23.i2.pp821-828</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xgiepbmq2vedricvllxiuczhoa">fatcat:xgiepbmq2vedricvllxiuczhoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210808061412/http://ijeecs.iaescore.com/index.php/IJEECS/article/download/24038/15258" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/60/806033d52b2e767219bc021fba9109405e41b513.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v23.i2.pp821-828"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Particle Swarm Intelligence Based Univariate Parameter Tuning of Recursive Least Square Algorithm for Optimal Heart Sound Signal Filtering

Mary Mekala ANTONY DHAS, Srimathi CHANDRASEKARAN
<span title="2019-09-01">2019</span> <i title="Gazi University Journal of Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xmuuz3htz5fc5certdgev2zuym" style="color: black;">GAZI UNIVERSITY JOURNAL OF SCIENCE</a> </i> &nbsp;
The physician's individual diagnostic experience, ecological noise and the intersection of heart and lung sound signal (LSS) are considered as the major noisy components in HSS diagnosis.  ...  In this paper, the RLS algorithm performance is compared with Least Mean Square (LMS) adaptive algorithms. Various metrics are used to compare the performance of both RLS and optimization algorithms.  ...  Discussion For adaptive noise cancellation the popular algorithms are LMS and RLS. The LMS filter is used with the range of step size is being given as the initial values to the DNL-PSO.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35378/gujs.501114">doi:10.35378/gujs.501114</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l4ll4cizyrarxk6fbsc7nivmcq">fatcat:l4ll4cizyrarxk6fbsc7nivmcq</a> </span>
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Signal Denoising Based on Wavelet Threshold Denoising and Optimized Variational Mode Decomposition

Hongping Hu, Yan Ao, Huichao Yan, Yanping Bai, Na Shi, Giovanni Diraco
<span title="2021-07-12">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zlknqk4ahbcsthbafxw55emm7a" style="color: black;">Journal of Sensors</a> </i> &nbsp;
by a hybrid algorithm of Multiverse Optimizer (MVO) and Particle Swarm Optimization (PSO), and correlation coefficient (CC) judgment to perform the signal denoising of MEMS vector hydrophone, named as  ...  Two simulated experimental results show that the MVO-PSO-VMD-CC-WT algorithm which has the highest signal-to-noise ratio and the least RMSE is superior to the other compared algorithms.  ...  Thus, the hybrid denoising algorithm MVO-PSO-VMD-CC-WT based on WT denoising and VMD optimized by MVO-PSO algorithm in terms of CC judgement is proposed to perform the denoising of the signal mixed with  ... 
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Fault Location Approach for Distribution Network with Dynamic Environment

Yang Yu, Mengshi Li, Tianyao Ji, Qinghua Wu, Sheng Du
<span title="2022-06-07">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gyp7lfoeuneghi3ny6y6qvlqoq" style="color: black;">International Transactions on Electrical Energy Systems</a> </i> &nbsp;
Other meta-heuristic algorithms are adopted for comparison, including genetic algorithms (GA), particle swarm optimization (PSO), grey wolf optimization (GWO), and the standard group search optimizer (  ...  For fault location, PAGSO has been verified under three cases, including ideal condition, noisy condition, and the system with renewable penetration.  ...  To testify whether algorithms are still effective under noisy environment, we add a 30 dB noise in both current and voltage signals obtained from the actual system in this case.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/3065602">doi:10.1155/2022/3065602</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2pomsvoskfdqdnvfw7dyjoazly">fatcat:2pomsvoskfdqdnvfw7dyjoazly</a> </span>
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Modified Particle Swarm Optimization for Blind Deconvolution and Identification of Multichannel FIR Filters

Vahid Khanagha, Ali Khanagha, Vahid Tabataba Vakili
<span title="2010-02-23">2010</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
Also, a modified version of PSO is presented which further improves the robustness and preciseness of PSO algorithm.  ...  Specially, the proposed method is shown to be more robust against lower SNR scenarios or in cases with smaller lengths of available data records.  ...  So there will be a tradeoff between convergence speed and probability of algorithm failures in noisy environments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2010/716862">doi:10.1155/2010/716862</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/44wkv62mr5garhmj2ck2viym5i">fatcat:44wkv62mr5garhmj2ck2viym5i</a> </span>
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A Survey on Techniques for Enhancing Speech

Tayseer M., Ahsan Adeel, Amir Hussain
<span title="2018-02-15">2018</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
In this paper authors will discuss various such methods along with their advantages and disadvantages.  ...  It is obvious that when speech is being transmitted, its quality may degrade due to interference in the environment it is passing through.  ...  In 2016, simulation results based on BA were compared with those of standard, accelerated PSO, gravitational search algorithm (GSA) and hybrid PSOGSA-based speech enhancement algorithms [78] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2018916290">doi:10.5120/ijca2018916290</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/24ribi6izbat5ggndg7qdame24">fatcat:24ribi6izbat5ggndg7qdame24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218182346/http://pdfs.semanticscholar.org/0f71/cf4fa4374da52cafa2e0cd68942d328ded60.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/71/0f71cf4fa4374da52cafa2e0cd68942d328ded60.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2018916290"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Speech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm Optimization

Tayseer M.F. Taha, Summrina Kanwal Wajid, Amir Hussain
<span title="2019-05-01">2019</span> <i title="Science Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wake4w3hqzd4ndiy2zowpciv64" style="color: black;">Journal of Computer Science</a> </i> &nbsp;
We consider the Particle Swarm Optimization (PSO) and its variants in conjunction with the Adaptive Noise Cancellation (ANC) approach, for delivering dual speech enhancement.  ...  The performance of the proposed algorithms is evaluated by maximising the perceptual evaluation of speech quality (PESQ) and comparing to the audio-only Wiener Filter (AW) and the Adaptive PSO for dual  ...  Rawat and D.K. Upadhyay, 2016. Design of optimal digital fir filters using evolutionary and swarm optimization techniques.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2019.691.701">doi:10.3844/jcssp.2019.691.701</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pugdcrt7m5c7rpexank745swy4">fatcat:pugdcrt7m5c7rpexank745swy4</a> </span>
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A hybrid noise suppression filter for accuracy enhancement of commercial speech recognizers in varying noisy conditions

Kit Yan Chan, Pei Chee Yong, Sven Nordholm, Cedric K.F. Yiu, Hak Keung Lam
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/spnlkxfb7fevrarnlb7rv32roy" style="color: black;">Applied Soft Computing</a> </i> &nbsp;
The performance of the hybrid noise suppression filter was evaluated by interfacing it with A hybrid noise suppression filter for accuracy enhancement of commercial speech recognizers in varying noisy  ...  In this paper, a hybrid noise suppression filter is proposed to interface with the commercial speech recognizers in order to enhance the recognition accuracy under variant noisy conditions.  ...  Acknowledgment The third and fourth authors were supported by RGC Grant PolyU (5301/12E).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2013.05.017">doi:10.1016/j.asoc.2013.05.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rfds2r5vnbeftbdxltvvusydbu">fatcat:rfds2r5vnbeftbdxltvvusydbu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922041001/https://espace.curtin.edu.au/bitstream/handle/20.500.11937/27237/198326_198326.pdf?sequence=2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/40/9640071e86713011d4329275376eff121e79218f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2013.05.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Passive Target Localization Problem Based on Improved Hybrid Adaptive Differential Evolution and Nelder-Mead Algorithm

Maja B. Rosić, Mirjana I. Simić, Predrag V. Pejović
<span title="2020-02-27">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zlknqk4ahbcsthbafxw55emm7a" style="color: black;">Journal of Sensors</a> </i> &nbsp;
Hence, an improved algorithm based on the hybridization of an adaptive differential evolution (ADE) and Nelder-Mead (NM) algorithms, named HADENM, is proposed to find the estimated position of a passive  ...  In this paper, the control parameters of the ADE algorithm are adaptively updated during the evolution process.  ...  Simić was supported in part by the Serbian Ministry of Education and Science under Grant (TR32028).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/3482463">doi:10.1155/2020/3482463</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qpecrufg3vbhxnwr7knf3aseoa">fatcat:qpecrufg3vbhxnwr7knf3aseoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306140622/http://downloads.hindawi.com/journals/js/2020/3482463.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cb/3e/cb3ecbf0375169339bfdda3e4f53f7c2add75126.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/3482463"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

A novel hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems

Ali Sharifi, Javidan Kazemi Kordestani, Mahshid Mahdaviani, Mohammad Reza Meybodi
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/spnlkxfb7fevrarnlb7rv32roy" style="color: black;">Applied Soft Computing</a> </i> &nbsp;
The third adapted algorithm, called CHPSOLS, combines the fundamental ideas of HPSOLS and CPSOLS in a single algorithm.  ...  This paper proposes a novel hybrid approach based on particle swarm optimization and local search, named PSOLS, for dynamic optimization problems.  ...  [1] proposed a framework of the eight change types including small step change, large step change, random change, chaotic change, recurrent change, recurrent change with noise, and dimensional change  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2015.04.001">doi:10.1016/j.asoc.2015.04.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u24zukarzfbslja24p3fiqaizm">fatcat:u24zukarzfbslja24p3fiqaizm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160713070957/http://ceit.aut.ac.ir/~meybodi/paper/Sharifi-ff-Kazemi-Mahdavian-meybodi-Applied%20soft%20computing-2015-ff.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a2/09/a209a80b3d605a53a38038015e48e3a73439610c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2015.04.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A hybrid Voronoi Tessellation/Genetic Algorithm Approach for the Deployment of Drone-Based Nodes of a Self-Organizing Wireless Sensor Network (WSN) in Unknown And GPS Denied Environments

Khouloud Eledlebi, Hanno Hildmann, Dymitr Ruta, A. F. Isakovic
<span title="2020-07-14">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ycpqunwwuja6beynxtnfswzqgy" style="color: black;">Drones</a> </i> &nbsp;
Counter-intuitively, performance and robustness increase in the presence of noise.  ...  To address this, we augment BISON with a genetic algorithm (GA), which has the benefit of further improving network deployment time and overall coverage.  ...  Figures 8-11 ) and contrast the performance in an obstacle-free environment (cf. Figures 6, 8 and 9 ) with the performance in an environment with obstacles (cf. Figures 10 and 11 ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/drones4030033">doi:10.3390/drones4030033</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5gmb3ojqfvctrctnvqjphpetkq">fatcat:5gmb3ojqfvctrctnvqjphpetkq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200720164000/https://res.mdpi.com/d_attachment/drones/drones-04-00033/article_deploy/drones-04-00033.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/5e/d95e27b6e312b6b45002643925939ecacf84341d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/drones4030033"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Robust Hybrid Multisource Data Fusion Approach for Vehicle Localization

Adda Redouane Ahmed Bacha, Dominique Gruyer, Alain Lambert
<span title="">2013</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nvba2ekgdbaxrhyc6yc6wp32je" style="color: black;">Positioning</a> </i> &nbsp;
The OKS filter represents an intelligent cooperative-reactive localization algorithm inspired by dynamic Particle Swarm Optimization (PSO).  ...  The OKS is also compared with both the well-known EKF and the Particle Filters (PF).  ...  Section 2.1 introduces the PSO algorithm and the Particle Filter giving details of their different algorithmic steps, while the EKF is detailed in Section 2.2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/pos.2013.44027">doi:10.4236/pos.2013.44027</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s7t5hpimmvcs7mgxpfmycbzo6m">fatcat:s7t5hpimmvcs7mgxpfmycbzo6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505201854/https://hal.archives-ouvertes.fr/hal-00911348/file/doc00016360.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/36/41363c4d9efa0e654025a2493f3ba467dd2587c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/pos.2013.44027"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Decision-Directed Adaptive Gain Equalizer for Assistive Hearing Instruments

Kit Yan Chan, Siow Yong Low, Sven Nordholm, Ka Fai Cedric Yiu
<span title="">2014</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezthgawmfbeczntonmx4gfjvtm" style="color: black;">IEEE Transactions on Instrumentation and Measurement</a> </i> &nbsp;
The proposed approach simultaneously boosts the speech segments and suppresses noise segments in noisy speech.  ...  These instruments are usually developed by using the conventional adaptive gain equalizer (AGE) which has low computational complexity and low distortion in real-time speech enhancement.  ...  These recorded speech sequences were assumed to be noise free, and were contaminated artificially with four noisy environments from four noise data files, namely white noise, factory noise, babble noise  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2014.2302242">doi:10.1109/tim.2014.2302242</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cuyyzinw4nhulfdwirrbfknnnq">fatcat:cuyyzinw4nhulfdwirrbfknnnq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429180439/https://espace.curtin.edu.au/bitstream/handle/20.500.11937/8570/199853_199853.pdf;jsessionid=F9254D6C2C0AC15CD582221F2A2E3889?sequence=2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7a/e4/7ae439214deaac0b438b651a0391283dace4acb3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2014.2302242"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Damage Identification in Bars with a Wave Propagation Approach: Performance Comparison of Five Hybrid Optimization Methods

R.A. Tenenbaum, L.T. Stutz, K.M. Fernandes
<span title="">2013</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5k6wnnhj5fbe7o7v3zavqqtk4u" style="color: black;">Shock and Vibration</a> </i> &nbsp;
Different damage scenarios are considered and, in order to account for noise corrupted data, signals with 10 dB of signal to noise ratio are also considered.  ...  In the performance comparison, it is also shown that the hybrid technique combining the Luus-Jaakola and the Levenberg-Marquardt optimization methods provides the faster damage recovery.  ...  Acknowledgments The authors acknowledge the Brazilian National Council for Scientific and Technological Development, CNPq, and Rio de Janeiro's Foundation for Research Support, FAPERJ, for their financial  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2013/467590">doi:10.1155/2013/467590</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tosrnvnjujaavglkxzxayiljfa">fatcat:tosrnvnjujaavglkxzxayiljfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211034428/http://downloads.hindawi.com/journals/sv/2013/467590.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/87/6e87187783838f03a106d9cbe0985386b636096b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2013/467590"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

A Novel Hybrid Soft Computing Technique for Extracting Fetal ECG from Maternal ECG Signal

S Saranya., Mrs.Suja S Priyadharsini.
<span title="2010-06-10">2010</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin, with the help of a hybrid soft computing technique called Adaptive Neuro-Fuzzy  ...  Also, we apply one of the swarm intelligent branches, namely particle swarm optimization (PSO) to furthermore tune the ANFIS parameters and to extract the pure FECG signal with higher SNR and lower error  ...  This is an extremely useful technique when a signal is submerged in a very noisy environment. Usually, the MECG noise is not steady; it changes from time to time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/751-1061">doi:10.5120/751-1061</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dokq5chtabgs5enytxb6dhcewa">fatcat:dokq5chtabgs5enytxb6dhcewa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180605060920/https://www.ijcaonline.org/volume3/number8/pxc3871061.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/21/c721f8eda8034358d26588ee91a0831af3e1e2a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/751-1061"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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