Littérature scientifique sur le sujet « Noise subtraction »
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Articles de revues sur le sujet "Noise subtraction"
Ma, Ying, Xiao Hua Zhang et Bing Lei Xing. « A Speech Enhancement Algorithm Based on the “Music Noise” Analysis ». Applied Mechanics and Materials 543-547 (mars 2014) : 2784–87. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2784.
Texte intégralLin, Tingting, Xiaokang Yao, Sijia Yu et Yang Zhang. « Electromagnetic Noise Suppression of Magnetic Resonance Sounding Combined with Data Acquisition and Multi-Frame Spectral Subtraction in the Frequency Domain ». Electronics 9, no 8 (5 août 2020) : 1254. http://dx.doi.org/10.3390/electronics9081254.
Texte intégralLu, Dong Yu, Guan Yu Tian, Xiao Shan Lu, Xin Ma et Lan Tian. « Improved Speech Enhancement Algorithm Based on Bark Bands Noise-Estimation for Non-Stationary Environment ». Applied Mechanics and Materials 385-386 (août 2013) : 1398–401. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1398.
Texte intégralMuzammel, Chowdhury Shahriar, Mahmudul Hasan, Khalil Ahammad et Mousumi Hasan Mukti. « Noise Reduction from Speech Signals using Modified Spectral Subtraction Technique ». European Journal of Engineering Research and Science 3, no 7 (31 juillet 2018) : 78. http://dx.doi.org/10.24018/ejers.2018.3.7.838.
Texte intégralMuzammel, Chowdhury Shahriar, Mahmudul Hasan, Khalil Ahammad et Mousumi Hasan Mukti. « Noise Reduction from Speech Signals using Modified Spectral Subtraction Technique ». European Journal of Engineering and Technology Research 3, no 7 (31 juillet 2018) : 78–80. http://dx.doi.org/10.24018/ejeng.2018.3.7.838.
Texte intégralKawamura, Arata, Weerawut Thanhikam et Youji Iiguni. « Single Channel Speech Enhancement Techniques in Spectral Domain ». ISRN Mechanical Engineering 2012 (22 juillet 2012) : 1–9. http://dx.doi.org/10.5402/2012/919234.
Texte intégralZhang, Shenghuan, et Ye Cheng. « Masking and noise reduction processing of music signals in reverberant music ». Journal of Intelligent Systems 31, no 1 (1 janvier 2022) : 420–27. http://dx.doi.org/10.1515/jisys-2022-0024.
Texte intégralCella, G. « Thermal noise correlations and subtraction ». Physics Letters A 382, no 33 (août 2018) : 2269–74. http://dx.doi.org/10.1016/j.physleta.2017.06.026.
Texte intégralDouarche, F., L. Buisson, S. Ciliberto et A. Petrosyan. « A simple noise subtraction technique ». Review of Scientific Instruments 75, no 12 (décembre 2004) : 5084–89. http://dx.doi.org/10.1063/1.1821625.
Texte intégralAlimi, Isiaka Ajewale. « Performance Improvement of Digital Hearing Aid Systems ». Journal of Communications Technology, Electronics and Computer Science 1 (22 octobre 2015) : 27. http://dx.doi.org/10.22385/jctecs.v1i0.15.
Texte intégralThèses sur le sujet "Noise subtraction"
Dandu, Sai Venkata Satya Siva Kumar, et Sujit Kadimisetti. « 2D SPECTRAL SUBTRACTION FOR NOISE SUPPRESSION IN FINGERPRINT IMAGES ». Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13848.
Texte intégralNolazco, Flores Juan Arturo. « Spectral subtraction and model adaptation for robust speech recognition in noise ». Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318436.
Texte intégralFaneuff, Jeffery J. « Spatial, Spectral, and Perceptual Nonlinear Noise Reduction for Hands-free Microphones in a Car ». Digital WPI, 2002. https://digitalcommons.wpi.edu/etd-theses/926.
Texte intégralBADARACCO, FRANCESCA. « Newtonian Noise studies in 2nd and 3rd generation gravitational-wave interferometric detectors ». Doctoral thesis, Gran Sasso Science Institute, 2021. http://hdl.handle.net/20.500.12571/16065.
Texte intégralMalavolta, Luca. « Data reduction, radial velocities and stellar parameters from spectra in the very low signal-to-noise domain ». Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423130.
Texte intégralTelescopi di grandi dimensioni usualmente rendono disponibili dei programmi per la riduzione dati che restituiscono all’astronomo dati già pronti per l’analisi scientifica, e sempre più spesso gli astronomi si appoggiano a questi programmi per evitare un lavoro lungo e diffi- cile. I programmi di riduzione dati standard sono però progettati per restituire buoni risultati su dati con buon Rapporto Segnale Rumore (RSR), e spesso i problemi legati alla riduzione di dati a basso RSR non sono presi in considerazione, con il risultato che le informazioni che contengono non sono adeguatamente utilizzate. Negli ultimi anni il nostro gruppo di ricerca ha collezionato migli- aia di spettri osservati con lo strumento GIRAFFE collegato al Very Large Telescope dell’Osservatorio Europeo del Sud in Cile, con lo scopo di determinare la distanza geometrica e lo stato dinamico di diversi Ammassi Globulari Galattici, ma in definitiva l’analisi è stata ostaco- lata da errori sistematici nella riduzione e calibrazione dei dati e nella misura delle velocità radiali. Inoltre questi dati non sono mai stati uti- lizzati per determinare altre informazioni come temperatura e metal- licità delle stesse, poiché considerati troppo rumorosi per questo tipo di analisi. In questa tesi concentriamo la nostra attenzione sulla riduzione dati ed analisi di spettri con bassissimo RSR. Il set di dati che analizziamo in questa tesi è composto da 7250 spettri per 2771 stelle dell’ammasso globulare M 4 (NGC 6121) ottenute con GIRAFFE nell’intervallo spet- trale 5145 − 5360Å. Stelle della parte superiore del Ramo delle Giganti Rossi fino alla Sequenza Principale sono state osservate in condizioni molto differenti, comprese notti con luna piena, fino ad raggiungere un valore limite di RSR ≃ 10 per molti spettri. La nostra analisi incomincia con i passi di base della riduzione dati ed estrazione degli spettri, adattando tecniche ben testate in altri campi (come la fotometria) ma ancora non ben sviluppate in spettroscopia. Continuiamo con il migliorare la soluzione della dispersione in lunghezza d’onda la correzione per piccoli spostamenti nelle velocità radiali di riferimento tra i dati di calibrazione presi durante il giorno e le osservazioni scientifiche seguendo un approccio completamente differente rispetto a quello ESO. Analizziamo poi la miglior maniera per effettuare la sottrazione del cielo e la normalizzazione del continuo, le due più importanti fonti rispettivamente di rumore ed errori sistematici nella misura delle velocità radiali nell’analisi chimica degli spettri. L’alto numero di spettri del nostro dataset richiede un approccio automatico ma robusto, che non manchiamo di fornire. Determiniamo infine per il nostro campione di stelle velocità radiali con una precisione mai vista in precedenza per dati di questo tipo e ritroviamo gli stessi parametri atmosferici di altri lavori svolti su stelle più brillanti, con dati a risoluzione spettrale maggiore e su intervalli di lunghezza d’onda dieci volte superiori a quello dei nostri dati. Nell’ultimo capitolo della tesi affrontiamo una problematica simile ma da una prospettiva completamente differente. Spettri ad alta risoluzione e ad alto RSR ottenuti con lo spettrografo HARPS sono stati usati per calibrare i parametri atmosferici stellari in funzione delle caratteristiche di funzioni di cross-correlazione specificatamente costruite includendo linee spettrali con diversa sensibilità ai parametri atmosferici stellari. Questi strumenti sono stati progettati per essere facilmente implementati un programma di riduzione dati, pur tuttavia senza sacrificare l’accuratezza dei parametri determinati anche per spettri a basso Rapporto Segnale Rumore.
Silva, Leandro Aureliano da. « Filtros de Kalman no tempo e freqüência discretos combinados com subtração espectral ». Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-28082007-104533/.
Texte intégralThis work has as main objective to present and to compare techniques of noise reduction using as evaluation criterion the low spectral distortion and the noise reduction in the reconstruction of corrupted speech signals. For so much, it was used the Kalman\'s filters in the time and frequency domain together with the technique of power spectral subtraction. The used signals were corrupted by white and colored noises and the evaluation of effectiveness of the algorithms was accomplished using the segmental signal-to-noise ratio (SNRseg) and the Itakura-Saito distance (d(a,b)). After the processing, it was noticed that the Kalman filtering in the time together with power spectral subtraction presented better results than the Kalman filtering in the frequency together with power spectral subtraction.
Sun, Yu. « SIGNAL PROCESSING FOR SHORT WAVE INFRARED (SWIR) RAMAN SPECTROSCOPY DIAGNOSIS OF CANCER ». Master's thesis, Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/446864.
Texte intégralM.S.
Raman spectroscopy is an effective optical analysis of the biochemically specific characterization of tissues without contrast agents or exogenous dyes. Applications of Raman spectroscopy include analysis and biomarker investigation, disease diagnosis and surgical guidance. One major challenge in Raman spectroscopy is removing inherent fluorescence background present in samples to acquire Raman signatures. In some tissues, like liver, kidney and darkly pigment skin, the auto-fluorescence background is strong enough to overwhelm the Raman peaks in conventional Near-Infrared (NIR) Raman systems. Recent publications have shown that using Raman systems with excitation sources with wavelengths beyond 830 nm and short-wave infrared (SWIR) InGaAs Array detectors resulted in dramatically reduced auto-fluorescence. The unique characteristics of Raman signals collected from SWIR systems versus NIR Raman systems requires inspection of the suitability of spectral pre-processing techniques. This thesis focused on the development of spectral processing techniques at three different steps; 1) detector background & noise reduction; 2) Auto-fluorescence background subtraction; 3) detection of outlier measurements to assist statistical classification. Detector background and noise reduction was compared between two different techniques, and a direct subtraction method resulted in better performance to reduce fixed pattern noise unique to InGaAs arrays. For the aim 2, three different algorithms for fluorescence background removal were developed, and a modified polynomial fitting method was found to be most appropriate for the low signal-to-noise (SNR) spectra. Finally, local outlier factor(LOF), a multivariate statistical outlier metric, was implemented in a two-stage fashion, and shown to be effective at identifying raw measurement errors and Raman spectra outliers. The overall outcome of this thesis was the evaluation of spectral processing techniques for SWIR Raman spectroscopy systems, and the development of specific techniques to optimize data quality and best prepare spectra for statistical analysis.
Temple University--Theses
Kanda, Allan Zukeran. « Estudo e implementação de uma técnica de redução de ruído em sinais de voz baseada na subtração espectral e em critérios psicoacústicos / ». Ilha Solteira : [s.n.], 2010. http://hdl.handle.net/11449/99085.
Texte intégralBanca: Suely Cunha Amaro Mantovani
Banca: Marco Aparecido Queiroz Duarte
Resumo: A proposta deste trabalho é aprimorar a performance da técnica de redução de ruído, subtração espectral baseado na relação SNR a Priori, através da implementação de dois novos parâmetros Potência de Articulação e Não-Articulação obtidas a partir de algumas técnicas psicoacústicas. Faz-se um estudo da anatomia do sistema de audição humana e algumas limitações físicas, com o objetivo de entender o princípio básico da técnica ANIQUE, que é um sistema de avaliação objetiva de voz e têm como princípio o modelamento da percepção humana da voz. Através do modelo ANIQUE são extraídas as principais técnicas psicoacústicas para obtenção dos novos parâmetros, Potência de Articulação e Não- Articulação. Procurou-se apresentar de maneira resumida o processo de equacionamento das técnicas de redução de ruído em sinais de voz e das técnicas psicoacústicas. Posteriormente são descritos todos os processos das técnicas utilizadas que foram simuladas utilizando a linguagem de programação do MatLab®, seguido das avaliações objetivas dos sinais processados pelo software PESQ, que é um programa de avaliação objetiva de voz. Os resultados mostram que a implementação das técnicas psicoacústicas foram eficazes para melhorar a performance da técnica subtração espectral baseada na relação SNR a Priori
Abstract: The purpose of this work is to enhance the performance of noise reduction techniques based on spectral subtraction, which take in account the a priori signal-to-noise (SNR a Priori) to be estimated considering psychoacoustic criteria. in order to understand the basic principle of the ANIQUE, which is a psychoacoustic based technique used to evaluate the quality of speech signals, it was necessary to develop a study of the anatomy of the human hearing and some physical limitations, From the ANIQUE are extracted new parameters namely Articulation and Non-Articulation Powers, used to estimate the SNR_prio. As a result, it was obtained a new spectral based technique which was implemented in the MatLab® environment and evaluated using the objective quality measure for speech signal simulations namely PESQ. The results show that the implementation of psychoacoustic techniques were effective in enhance the performance of the spectral subtraction technique based on SNR a Priori
Mestre
Lamoš, Martin. « Modelování metod číslicového zpracování obrazu u digitální radiografie ». Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218768.
Texte intégralSingh, Latchman. « Speech enhancement for forensic applications ». Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36080/1/36080_Singh_1998.pdf.
Texte intégralLivres sur le sujet "Noise subtraction"
Baral, Suman. Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30904-6.
Texte intégralBaral, Suman. Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD. Springer, 2019.
Trouver le texte intégralBaral, Suman. Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD. Springer, 2020.
Trouver le texte intégralChapitres de livres sur le sujet "Noise subtraction"
Vaseghi, Saeed V. « Spectral Subtraction ». Dans Advanced Signal Processing and Digital Noise Reduction, 242–60. Wiesbaden : Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-92773-6_9.
Texte intégralCella, G. « Off-Line Subtraction of Seismic Newtonian Noise ». Dans Recent Developments in General Relativity, 495–503. Milano : Springer Milan, 2000. http://dx.doi.org/10.1007/978-88-470-2113-6_44.
Texte intégralAbuzneid, Abdelshakour, Moeen Uddin, Shaid Ali Naz et Omar Abuzaghleh. « An Algorithm to Remove Noise from Audio Signal by Noise Subtraction ». Dans Advances in Computer and Information Sciences and Engineering, 5–10. Dordrecht : Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_2.
Texte intégralBaral, Suman. « New Noise Subtraction Methods for Lattice QCD Calculations ». Dans Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD, 1–32. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30904-6_1.
Texte intégralStarke, Ludger, Thoralf Niendorf et Sonia Waiczies. « Data Preparation Protocol for Low Signal-to-Noise Ratio Fluorine-19 MRI ». Dans Methods in Molecular Biology, 711–22. New York, NY : Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_43.
Texte intégralKatsuda, T., T. Gotanda, R. Gotanda, T. Akagawa, N. Tanki, T. Kuwano et K. Yabunaka. « Noise reduction of radiochromic film : median filter processing of subtraction image ». Dans IFMBE Proceedings, 763–66. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19387-8_188.
Texte intégralUdrea, Radu Mihnea, Claudia Cristina Oprea et Cristian Stanciu. « Multi-microphone Noise Reduction System Integrating Nonlinear Multi-band Spectral Subtraction ». Dans Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 133–38. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74935-8_19.
Texte intégralCzyżewski, Andrzej. « Intelligent Control of Spectral Subtraction Algorithm for Noise Removal from Audio ». Dans Intelligent Tools for Building a Scientific Information Platform, 475–88. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35647-6_28.
Texte intégralRam, Rashmirekha, Saumendra Kumar Mohapatra et Mihir Narayan Mohanty. « Speech Enhancement Using a Novel Spectral Subtraction Method for Seashore Noise ». Dans Lecture Notes in Electrical Engineering, 217–26. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8752-8_23.
Texte intégralBaral, Suman. « TF Model for Mesonic Matters ». Dans Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD, 33–72. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30904-6_2.
Texte intégralActes de conférences sur le sujet "Noise subtraction"
Poletto, F., et A. Craglietto. « Orthogonalized noise subtraction ». Dans 53rd EAEG Meeting. European Association of Geoscientists & Engineers, 1991. http://dx.doi.org/10.3997/2214-4609.201411022.
Texte intégralSpitz, S. « Pattern Recognition and Subtraction of Coherent Noise ». Dans 60th EAGE Conference and Exhibition. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201408108.
Texte intégralLinhard, Klaus, et Tim Haulick. « Spectral noise subtraction with recursive gain curves ». Dans 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA : ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-333.
Texte intégralLinhard, Klaus, et Tim Haulick. « Noise subtraction with parametric recursive gain curves ». Dans 6th European Conference on Speech Communication and Technology (Eurospeech 1999). ISCA : ISCA, 1999. http://dx.doi.org/10.21437/eurospeech.1999-575.
Texte intégralLathoud, G., M. Magimai-Doss, B. Mesot et H. Bourlard. « Unsupervised spectral subtraction for noise-robust ASR ». Dans IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. IEEE, 2005. http://dx.doi.org/10.1109/asru.2005.1566500.
Texte intégralBaral, Suman, Walter Wilcox et Ronald B. Morgan. « New Noise Subtraction Methods in Lattice QCD ». Dans 34th annual International Symposium on Lattice Field Theory. Trieste, Italy : Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.256.0355.
Texte intégralGuerrero, Victor X., Walter Wilcox et Ronald B. Morgan. « Eigenspectrum noise subtraction methods in lattice QCD ». Dans The XXVII International Symposium on Lattice Field Theory. Trieste, Italy : Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.091.0041.
Texte intégralCole, Cliston, Marc Karam et Heshmat Aglan. « Spectral Subtraction of Noise in Speech Processing Applications ». Dans 2008 40th Southeastern Symposium on System Theory (SSST). IEEE, 2008. http://dx.doi.org/10.1109/ssst.2008.4480188.
Texte intégralMoeller, R. P., et W. K. Burns. « 1.06 µm All-fiber Gyroscope With Noise Subtraction ». Dans Optical Fiber Sensors. Washington, D.C. : OSA, 1992. http://dx.doi.org/10.1364/ofs.1992.p2.
Texte intégralIzquierdo, M. A. G., M. G. Hernández, M. Molero et J. J. Anaya. « Structural noise reduction using multiresolution-based spectral subtraction ». Dans International Congress on Ultrasonics. Vienna University of Technology, 2007. http://dx.doi.org/10.3728/icultrasonics.2007.vienna.1290_izquierdo.
Texte intégral