Relevant bibliographies by topics / Echo-optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Echo-optimization'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Echo-optimization"

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Zhang, Q. "Echo optimization of cardiac resynchronization therapy." International Journal of Cardiology 125 (February 2008): S15. http://dx.doi.org/10.1016/s0167-5273(08)70158-x.

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Johnson, G., and E. X. Wu. "Sensitivity Optimization of Echo Times and Data Sampling Times for Spin-Echo Spectroscopy." Journal of Magnetic Resonance, Series B 105, no. 3 (1994): 238–41. http://dx.doi.org/10.1006/jmrb.1994.1130.

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R., Vincy, and J. William. "Optimization of Acoustic Echo and Noise Reduction in Non Stationary Environment." International Journal of Advance Research and Innovation 3, no. 1 (2015): 104–8. http://dx.doi.org/10.51976/ijari.311519.

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Optimized speech enhancement method combines acoustic echo reduction and noise reduction in a unified framework for non stationary environment. Simultaneous optimization of noise and echo reduction is already done in stationary environment. In most of the times in transmission, signal properties change over time. We need to remove the artifacts of sound in those conditions. Recursive least square method proposed for noise and echo reduction. It gives little amount of mean square error and better results. Normally, partial optimization of acoustic echo reduction and noise reduction does not lea
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Lin, Ziyang, Jincheng Xu, Yuxuan Yang, and Yichen Zeng. "Echo cancellation using Artificial Intelligence technique." Applied and Computational Engineering 39, no. 1 (2024): 260–65. http://dx.doi.org/10.54254/2755-2721/39/20230611.

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To improve the audio quality in telecommunication, echo cancellation was proposed to prevent signals from re-appearing. Generally speaking, the echo canceler first recognizes the original transmitted signal that appears again due to delay in the transmitted or recieved signal. Then, the echo canceler subtracts the echo in the signals. Commonly, echo cancelers are calledacoustic echo cancellation (AEC) in general, whether they aim for acoustic echo, line echo, or both. However, in modern times, new problems have been emerging which require more innovative, more advanced methods to tackle the ec
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Thiede, Luca Anthony, and Ulrich Parlitz. "Gradient based hyperparameter optimization in Echo State Networks." Neural Networks 115 (July 2019): 23–29. http://dx.doi.org/10.1016/j.neunet.2019.02.001.

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Gowland, P. A., and R. Bowtell. "Theoretical optimization of multi-echo fMRI data acquisition." Physics in Medicine and Biology 52, no. 7 (2007): 1801–13. http://dx.doi.org/10.1088/0031-9155/52/7/003.

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Vidarsson, Logi, Steven M. Conolly, Kelvin O. Lim, Garry E. Gold, and John M. Pauly. "Echo time optimization for linear combination myelin imaging." Magnetic Resonance in Medicine 53, no. 2 (2005): 398–407. http://dx.doi.org/10.1002/mrm.20360.

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Hu, Haofei, Chongyi Fan, and Xiaotao Huang. "Radar Target Detection Based on Waveform Design under Atmospheric Attenuation." Journal of Physics: Conference Series 2290, no. 1 (2022): 012071. http://dx.doi.org/10.1088/1742-6596/2290/1/012071.

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Abstract Under the condition of atmospheric attenuation, the mismatch of radar echo signals leads to the decrease of signal-to-noise ratio (SNR) and detection probability. A joint optimization algorithm for transmitting signal and receiving filter of MIMO radar with atmospheric system response is presented in this paper. Considering the energy constraint, similarity constraint and spectral coexistence constraint of the transmitting signal, and introducing the atmospheric channel response matrix, the echo model under the atmospheric response condition is constructed. By optimizing the transmitt
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Xue, Yu, Qi Zhang, and Adam Slowik. "Automatic topology optimization of echo state network based on particle swarm optimization." Engineering Applications of Artificial Intelligence 117 (January 2023): 105574. http://dx.doi.org/10.1016/j.engappai.2022.105574.

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Liu, Wen-Jie, Yu-Ting Bai, Xue-Bo Jin, Jian-Lei Kong, and Ting-Li Su. "A Novel Broad Echo State Network for Time Series Prediction: Cascade of Mapping Nodes and Optimization of Enhancement Layer." Applied Sciences 12, no. 13 (2022): 6396. http://dx.doi.org/10.3390/app12136396.

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Time series prediction is crucial for advanced control and management of complex systems, while the actual data are usually highly nonlinear and nonstationary. A novel broad echo state network is proposed herein for the prediction problem of complex time series data. Firstly, the framework of the broad echo state network with cascade of mapping nodes (CMBESN) is designed by embedding the echo state network units into the broad learning system. Secondly, the number of enhancement layer nodes of the CMBESN is determined by proposing an incremental algorithm. It can obtain the optimal network str
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Dissertations / Theses on the topic "Echo-optimization"

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RUEDA, CAMILO VELASCO. "ESNPREDICTOR: TIME SERIES FORECASTING APPLICATION BASED ON ECHO STATE NETWORKS OPTIMIZED BY GENETICS ALGORITHMS AND PARTICLE SWARM OPTIMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24785@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A previsão de séries temporais é fundamental na tomada de decisões de curto, médio e longo prazo, em diversas áreas como o setor elétrico, a bolsa de valores, a meteorologia, entre outros. Tem-se na atualidade uma diversidade de técnicas e modelos para realizar essas previsões, mas as ferramentas estatísticas são as mais utilizadas principalmente por apresentarem um maior grau d
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Prokudaylo, Sergey. "Calculations for neutron spin echo optimization of the magnetic field geometries and preparations and analysis of experiments on crystal lattice dynamics /." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=97258840X.

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Ailleres, Norbert. "Etude comparative des séquences d'échos de spins, d'échos stimulés et d'échos de gradients en I. R. M : optimisation du contraste." Toulouse 3, 1992. http://www.theses.fr/1992TOU30254.

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A partir des expressions du signal en imagerie par resonance magnetique nucleaire (i. R. M. ), une methode mathematique est proposee pour effectuer une etude comparative du contraste de l'image obtenue a partir d'une sequence quelconque d'impulsions. Dans ce but, nous proposons l'utilisation de fonctions de contraste qui permettent d'evaluer la ponderation des differents parametres intrinseques de l'objet (densite de protons rho, temps de relaxation longitudinale t1 et transversale t2) en fonction des valeurs choisies pour les parametres instrumentaux. La methode proposee, qui s'applique a une
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Charles, Adam Shabti. "Dynamics and correlations in sparse signal acquisition." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53592.

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One of the most important parts of engineered and biological systems is the ability to acquire and interpret information from the surrounding world accurately and in time-scales relevant to the tasks critical to system performance. This classical concept of efficient signal acquisition has been a cornerstone of signal processing research, spawning traditional sampling theorems (e.g. Shannon-Nyquist sampling), efficient filter designs (e.g. the Parks-McClellan algorithm), novel VLSI chipsets for embedded systems, and optimal tracking algorithms (e.g. Kalman filtering). Traditional techniques h
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Laule, Cornelia. "Optimization of a 48 echo magnetic resonance imaging sequence using variable TR data acquisition." Thesis, 2000. http://hdl.handle.net/2429/11310.

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Magnetic resonance imaging (MRI) is a very valuable tool for studying the brain. Currently, MRI is the only non-invasive method for investigating myelin. A unique MRI pulse sequence which is used to investigate myelin is a 48 echo CPMG experiment with TR = 3800ms and TE 10 and 50ms. Unfortunately, this experiment takes over 33 minutes to complete, making clinically less feasible to use. By collecting higher order regions of k-space at shorter TR times, the experiment can be shortened, but at a cost of increasing image blurrines and at a potential loss of data. The purpose of this thesis
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Danagoulian, Giovanna Selvaggi. "Quantum mechanical analysis and numerical optimization of a "zero-field" spin echo small angle neutron scattering instrument /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3301123.

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Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.<br>Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 1301. Adviser: Brent J. Heuser. Includes bibliographical references (leaves 105-106) Available on microfilm from Pro Quest Information and Learning.
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MARZIA, LILLIU. "The effects of echo-optimization of left Ventricular Assist devices on Functional capacity: a RAndomized Controlled Trial (VAFRACT)." Doctoral thesis, 2020. http://hdl.handle.net/11562/1017723.

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Background: dopo l'impianto di un dispositivo di assistenza ventricolare sinistra (LVAD), molti pazienti continuano a manifestare intolleranza all'esercizio. L'ottimizzazione eco-guidata (EO) dei LVAD determina un profilo emodinamico più favorevole e potrebbe comportare anche un miglioramento della capacità funzionale. VAFRACT è il primo studio prospettico randomizzato che valuta il beneficio aggiuntivo di un approccio eco-guidato sulla capacità funzionale, studiata attraverso test cardiopolmonare (CPET), in una popolazione di pazienti portatori di LVAD non ottimizzati. Materiali e Metodi: i
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Prokudaylo, Sergey [Verfasser]. "Calculations for neutron spin echo : optimization of the magnetic field geometries and preparations and analysis of experiments on crystal lattice dynamics / Sergey Prokudaylo." 2004. http://d-nb.info/97258840X/34.

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Santanni, Fabio. "Molecular approaches for the optimization of electron spin-based quantum bits and quantum logic gates." Doctoral thesis, 2022. http://hdl.handle.net/2158/1262928.

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This work highlights the different possibilities given by a rational chemical approach to obtain molecular-based quantum bits and quantum logic gates as an appealing and alternative platform for implementing quantum computation. This work resumes the three years of the author's work on this subject, mainly presenting and focusing on experimental results obtained for some new potential hydrogen-free molecular qubits, multi-qubit structures, and state-of-the-art EPR-based (Electron Paramagnetic Resonance) experiments on an archetypical vanadyl-based qubit.
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Book chapters on the topic "Echo-optimization"

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Zhang, Jinwei, Hang Zhang, Chao Li, et al. "Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87231-1_23.

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Ramírez, Andres Cureño, and Luis Gerardo De la Fraga. "Optimization of Echo State Neural Networks to Solve Classification Problems." In Complex Systems and Their Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-51224-7_2.

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Wang, Yan, Chao Wang, and Jie Li. "The Optimization of Radar Echo Pulse Compression Algorithm Based on DSP." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3229-5_27.

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Pedersen, Peder C., and Li Wan. "Optimization of Pulse-Echo Array Transducer System for Identification of Specified Targets." In Acoustical Imaging. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8606-1_47.

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Kang, Xinyuan, Fan Li, Hui Zhao, Zijian Wang, Mingwen Zheng, and Xin Li. "Research and Application of Improved Echo State Network Based on Error Optimization." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2528-4_26.

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Song, Ke. "Optimization of Echo Parameter in Intelligent Instrument Under the Condition of Numerical Stability." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15235-2_165.

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Abadlia, I., L. Hassaine, F. Abdoune, and A. Beddar. "Energy Management Strategy and Optimization of a MicroGrid System Based on Echo State Networks." In Artificial Intelligence and Renewables Towards an Energy Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63846-7_17.

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Song, Qingsong, Zuren Feng, and Yonggang Wang. "Stable Training Method for Echo State Networks Running in Closed-Loop Based on Particle Swarm Optimization Algorithm." In Neural Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10684-2_28.

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Penkov, Dimitar, Petia Koprinkova-Hristova, Nikola Kasabov, Simona Nedelcheva, Sofiya Ivanovska, and Svetlozar Yordanov. "Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform." In Large-Scale Scientific Computations. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56208-2_45.

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AbstractThis work is demonstrating the use of a supercomputer platform to optimise hyper-parameters of a proposed by the team novel SNN-ESN computational model, that combines a brain template of spiking neurons in a spiking neural network (SNN) for feature extraction and an Echo State Network (ESN) for dynamic data series classification. A case study problem and data are used to illustrate the functionalities of the SNN-ESN. The overall SNN-ESN classifier has several hyper-parameters that are subject to refinement, such as: spiking threshold, duration of the refractory period and STDP learning
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Stavroulakis, Georgios E. "Global optimization for crack identification: impact-echo experiments." In Combinatorial and Global Optimization. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812778215_0021.

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Conference papers on the topic "Echo-optimization"

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Chu, Xiaoyu, Pinghui Wu, Shurui Fan, and Kewen Xia. "Echo State Network with Dung Beetle Optimization Algorithm and Its Application." In 2024 17th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2024. https://doi.org/10.1109/icacte62428.2024.10871893.

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Bacanin, Nebojsa, Luka Jovanovic, Marko Djordjevic, et al. "Crop Yield Forecasting Based on Echo State Network Tuned by Crayfish Optimization Algorithm." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649266.

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Meng, Fanle, Fei Ma, and Fan Zhang. "Parallel Optimization of Spaceborne SAR Echo Simulation and Imaging Using OpenCL Based on GPGPU." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642168.

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Kong, Lingfeng, Zhizhao Xu, Youping Jiang, and Rongying Shao. "Design and Performance Optimization of Missile-borne Synthetic Aperture Radar Target Echo Simulation System." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868575.

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Carlse, Gehrig, Jaskaran Randhawa, Eduardo Ramos, Thomas Vacheresse, Alexander Pouliot, and Anantharaman Kumarakrishnan. "Contrast enhancement of echo atom interferometers using optical channeling and optimization of near resonant Bragg scattering." In Optical Sensing and Precision Metrology, edited by Jacob Scheuer. SPIE, 2025. https://doi.org/10.1117/12.3054199.

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Ramijaanaki, S., V. R. Niveditha, G. V. N. Bhagya Sree, Rajababu D, R. Maranan, and S. Kaliappan. "Long Short-Term Memory with Encoder-Decoder and Skill Optimization Algorithm based Weather Radar Echo Prediction." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911423.

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Jiang, Xin, Lu Zhao, Wen Liu, et al. "Foundation Pit Support Deformation Prediction Based on Deep Echo State Network Optimized by Empirical Balance Particle Swarm Optimization." In 2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC). IEEE, 2024. http://dx.doi.org/10.1109/aiotc63215.2024.10748306.

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Asaue, Hisafumi, Tomoki Shiotani, Nobuhiro Okude, Norihiko Ogura, Yujin Yamamoto, and Koji Kinomura. "Clarification of Fracture Behaviour of RC Pillar with 3D Concrete Printing Buried Formwork Based on Elastic Wave Technique." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2762.

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&lt;p&gt;Three-dimensional concrete printing (3DCP) offers reduced construction time and workforce needs, addressing labour shortages caused by aging populations. However, its structural optimization and durability remain under-researched. This study examines the fracture behaviour of RC pillars, comparing conventional formwork (case 1) with 3DCP buried formwork, varying short-fiber volume ratios to 1% (case 2) and 2% (case 3). Cyclic loading tests and non-destructive tastings, such as Acoustic Emission method, Elastic wave tomography, Surface wave tomography, and Ultrasonic Pulse-echo method,
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Lin, Zhenliang, Qikang Li, Rui Wang, Guobin Li, and Jie Luo. "Optimization of Acoustic Noise for Single-Shot Echo-Planar Imaging by Varying Echo Spacing." In ICBBE '20: 2020 7th International Conference on Biomedical and Bioinformatics Engineering. ACM, 2020. http://dx.doi.org/10.1145/3444884.3444895.

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Cai, Mao, Xingming Fan, Chao Wang, Linlin Gao, and Xin Zhang. "Research for Parameters Optimization of Echo State Network." In 2018 11th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2018. http://dx.doi.org/10.1109/iscid.2018.10142.

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