Relevant bibliographies by topics / Quantization technique

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Quantization technique'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Quantization technique"

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Vishakha, Agrawal. "An In-Depth Overview of Existing Quantization Strategies for Neural Networks." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 6 (2020): 1–5. https://doi.org/10.5281/zenodo.14607968.

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Neural network quantization has emerged as a crucial technique for efficient deployment of deep learning models on resource-constrained devices. This paper provides a detailed survey of existing quantization strategies, analyzing their theoretical foundations, algorithmic details, and empirical performance. We compare and contrast various quantization techniques, including post-training quantization, quantization- aware training, and knowledge distillation-based methods, to provide insights into their strengths, limitations, and applications.
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Dai, Xinyan, Xiao Yan, Kelvin K. W. Ng, Jiu Liu, and James Cheng. "Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 51–58. http://dx.doi.org/10.1609/aaai.v34i01.5333.

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Vector quantization (VQ) techniques are widely used in similarity search for data compression, computation acceleration and etc. Originally designed for Euclidean distance, existing VQ techniques (e.g., PQ, AQ) explicitly or implicitly minimize the quantization error. In this paper, we present a new angle to analyze the quantization error, which decomposes the quantization error into norm error and direction error. We show that quantization errors in norm have much higher influence on inner products than quantization errors in direction, and small quantization error does not necessarily lead t
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S., Saravanan, Aravind Britto K. R., Sandeep Kumar M., Prabhu J., and Sathishkumar V. E. "Dithering techniques and segmentation analysis on a mammogram breast cancer image." Applied and Computational Engineering 6, no. 1 (2023): 1191–96. http://dx.doi.org/10.54254/2755-2721/6/20230536.

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The objective of the publishing industry is to minimize the number of colors in an image for printing. Also, to retain the better quality from the picture, some useful techniques are needed with the aid of only a few colors. The contouring consequences occur when an image quantized bluntly regardless of the quantization, either uniform or non-uniform. To alleviate the issues of contouring, a slight amount of random noise is added (dithered) to the original image, followed by the quantization method. The methods such as dithering and half toning are extensively used strategies in acquiring text
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Osamah, Ansam, and Ahmed Nori. "Steganography based on Vector Quantization Technique." AL-Rafidain Journal of Computer Sciences and Mathematics 10, no. 3 (2013): 13–27. http://dx.doi.org/10.33899/csmj.2013.163532.

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Nasrabadi, N. M., and Y. Feng. "A multilayer address vector quantization technique." IEEE Transactions on Circuits and Systems 37, no. 7 (1990): 912–21. http://dx.doi.org/10.1109/31.55066.

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Suman, M., Habibulla Khan, M.Madhavi Latha, and D.Aruna Kumari. "Enhancement of Compressed Speech Signal using Recursive Filter." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 08 (2013): 261–66. https://doi.org/10.5281/zenodo.14613331.

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Speech compression, enhancement and recognition in noisy, reverberant conditions is a challenging task. In this paper a new approach to this problem, which is developed in the framework of probabilistic random modeling. speech coding techniques are commonly used in low bit rate analysis and synthesis . Coding algorithms seek to minimize the bit rate in the digital representation of a signal without an objectionable loss of signal quality in the process. As the compression techniques that are used are Lossy compression technique and there is every possibility of loss in quality. Speech enhancem
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Kozyriev, Anton, and Vladimir Norkin. "Lossy Image Compression with Stochastic Quantization." Cybernetics and Computer Technologies, no. 3 (September 24, 2024): 60–66. http://dx.doi.org/10.34229/2707-451x.24.3.6.

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Introduction. Lossy image compression algorithms play a crucial role in various domains, including graphics, and image processing. As image information density increases, so do the resources required for processing and transmission. One of the most prominent approaches to address this challenge is color quantization, proposed by Orchard et al. (1991). This technique optimally maps each pixel of an image to a color from a limited palette, maintaining image resolution while significantly reducing information content. Color quantization can be interpreted as a clustering problem (Krishna et al. (
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DOSI, ANAR. "NONCOMMUTATIVE MACKEY THEOREM." International Journal of Mathematics 22, no. 04 (2011): 535–44. http://dx.doi.org/10.1142/s0129167x11006891.

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In this note we investigate quantizations of the weak topology associated with a pair of dual linear spaces. We prove that the weak topology admits only one quantization called the weak quantum topology, and that weakly matrix bounded sets are precisely the min-bounded sets with respect to any polynormed topology compatible with the given duality. The technique of this paper allows us to obtain an operator space proof of the noncommutative bipolar theorem.
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Qasim KAITTAN, Maysam, Israa J. MUHSIN, and Hanaa I. ALI. "COLOR IMAGES COMPRESSION USING VECTOR QUANTIZATION (VQ)TECHNIQUE WITH DIFFERENT MATHEMATICAL TRANSFORMATIONS." MINAR International Journal of Applied Sciences and Technology 01, no. 01 (2019): 32–46. http://dx.doi.org/10.47832/2717-8234.1-1.4.

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Image data compression is one of the most important techniques in digital image processing that used to reduce the size of image data with taking into account getting good quality of the compressed image, before several decades the researchers produced a lot of coding methods to decrease the image size, these methods include loss data compression and lossless data compression. in this research vector quantization techniques have been used to compress color image, firstly vector quantization has been applied using only cosine transform and then using principle component transform together with
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Chen, Na, Shao Pu Yang, and Cun Zhi Pan. "Application of the Dither Technology in a Fault Detection System." Applied Mechanics and Materials 281 (January 2013): 71–74. http://dx.doi.org/10.4028/www.scientific.net/amm.281.71.

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In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Fina
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Dissertations / Theses on the topic "Quantization technique"

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NAVARRETE, PEDRO FREDDY HUAMANI. "PROGRESSIVE IMAGE TRANSMISSION ON PIRAMIDAL CODING TECHNIQUE BY VECTOR QUANTIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8969@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Neste trabalho é proposta uma técnica para transmissão progressiva de imagens. Esta técnica está baseada no modelo piramidal de Burt e Adelson [2], fazendo uso da codificação por quantização vetorial nas imagens representadas por uma estrutura piramidal, denominada pirâmide de imagens diferença. Esta estrutura é obtida da subtração de uma pirâmide de imagens médias de uma pirâmide de imagens embaralhadas. A pirâmide de imagens de médias é construída formando uma seqüência de imagens, cada vez com menor dimensão, pelo cál
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Ramsay, Colin Scott. "Image compression techniques using vector quantization." Thesis, University of Edinburgh, 1994. http://hdl.handle.net/1842/14246.

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Image compression utilises data redundancy to generate a reduced data representation from which the original image can be reconstructed with the introduction of only small coding errors. Data compression reduces the storage or transmission bandwidth required by the application. In the development of compression methods the aim is to minimise the coding error while increasing the compression ratio. Also, the complexity of the coding algorithm must be considered if a cost-effective solution is being sought. This thesis reviews the current status of image compression and identifies Vector Quantiz
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Ang, Y. H. "Adaptive transform coding of images using vector quantization techniques." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382282.

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Kossentini, Faouzi. "Multistage residual vector quantization with application to image coding." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/14692.

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Liu, Sam J. "Low bit-rate image and video compression using adaptive segmentation and quantization." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/14850.

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Wang, Huan-sheng. "Fast search techniques for video motion estimation and vector quantization." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/13918.

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Sauvaigo, Sylvie. "Formats de détection de produits d'amplification PCR : application à la mise en évidence du provirus VIH-1." Université Joseph Fourier (Grenoble ; 1971-2015), 1994. http://www.theses.fr/1994GRE10127.

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La reaction de polymerisation en chaine (polymerase chain reaction ou pcr) est devenue un outil indispensable dans les laboratoires de biologie moleculaire. Certaines applications notamment en diagnostic medical, exigent une specificite et une sensibilite maximale. Les formats employes doivent etre simples et compatibles avec une utilisation en routine de cette technique. Dans ce travail, nous presentons la mise au point d'un test diagnostic (amplicis ) base sur la pcr. Ce procede, qui permet une amelioration de la specificite et de la sensibilite du processus d'amplification, exploite les pos
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Olsson, Daniel. "Techniques for Selecting Spatially Variable Video Encoder Quantization for Remote Operation." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168055.

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In this thesis project, it is analyzed if compressing a video stream differently, depending on the importance of certain features would decrease the data that need to be sent, without decreasing the information perceived by the operator in teleoperations. This is done by using both a static and dynamic selection of features that gets more or less compressed depending on how important they are to the operator. It shows that the bandwidth used is reduced and most information is kept, but because of the hardware used for teleoperations are limited the usability of this method is also limited.
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Roscher, Albrecht. "Étude du métabolisme énergétique végétal par RMN d'échange chimique du 31P : développement et application de la technique 2D EXSY." Université Joseph Fourier (Grenoble ; 1971-2015), 1997. http://www.theses.fr/1997GRE10059.

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L'etude de l'echange chimique par resonance magnetique nucleaire (rmn) est un outil unique pour suivre in vivo des cinetiques enzymatiques a l'etat stationnaire. Nous proposons d'utiliser la spectroscopie d'echange bidimensionnelle (2d exsy) du 31p pour etudier le metabolisme energetique des pointes de racines de mais excisees et perfusees. Le systeme de perfusion utilise est decrit. Nous mesurons d'abord les vitesses de relaxation longitudinale des aimantations 31p in vivo, puisque l'exsy en depend de facon critique. Nous perfectionnons la methode de mesure, et nous montrons par des mesures p
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Multanen, Eric W. "Characterization of quantization noise in oversampled analog to digital converters." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4424.

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The analog to digital converter (ADC) samples a continuous analog signal and produces a stream of digital words which approximate the analog signal. The conversion process introduces noise into the digital signal. In the case of an ideal ADC, where all noise sources are ignored, the noise due to the quantization process remains. The resolution of the ADC is defined by how many bits are in the digital output word. The amount of quantization noise is clearly related to the resolution of the ADC. Reducing the quantization noise results in higher effective resolution.
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Books on the topic "Quantization technique"

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So, Kevin Kin Man. A new quantization technique for linear predictive speech coding. University of Manchester, 1994.

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Garcia-Arellano, Christian M. Quantization techniques for similarity search in high-dimensional data spaces. National Library of Canada, 2002.

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Norbury, John W. Second quantization techniques in the scattering of nonidentical composite bodies. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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C, Chung Wilson, Smith Mark J. T, and United States. National Aeronautics and Space Administration., eds. Conditional entropy-constrained residual VQ with application to image coding. National Aeronautics and Space Administration, 1996.

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C, Chung Wilson, Smith Mark J. T, and United States. National Aeronautics and Space Administration., eds. Conditional entropy-constrained residual VQ with application to image coding. National Aeronautics and Space Administration, 1996.

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C, Chung Wilson, Smith Mark J. T, and United States. National Aeronautics and Space Administration., eds. Conditional entropy-constrained residual VQ with application to image coding. National Aeronautics and Space Administration, 1996.

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Vector quantization. IEEE Press, 1990.

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Parthasarathy, Priya. Optimum quantization for the adaptive loops in MDFE. 1997.

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Stoft, David E. Adaptive subband quantization for low bit-rate lossy image compression. 1994.

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Sogge, Christopher D. Stationary phase and microlocal analysis. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691160757.003.0004.

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This chapter discusses basic techniques from the theory of stationary phase. After giving an overview of the method of stationary phase, the chapter moves on to a discussion of pseudodifferential operators, by going over the basics from the calculus of pseudodifferential operators and their various microlocal properties, in the process obtaining an equivalent definition of wave front sets, before defining pseudodifferential operators on manifolds and going over some of their properties. The chapter then lays out the propagation of singularities as well as Egorov's theorem, which involves conju
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Book chapters on the topic "Quantization technique"

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de Saporta, Benoîte, François Dufour, and Huilong Zhang. "Quantization Technique." In Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119145066.ch3.

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Atsalakis, Antonios, Nikos Papamarkos, and Charalambos Strouthopoulos. "A New Adaptive Color Quantization Technique." In Artificial Neural Networks — ICANN 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44668-0_139.

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Chen, Xiaoming. "Massive Access with Channel Quantization Codebook." In Massive Access for Cellular Internet of Things Theory and Technique. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6597-3_3.

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Zhang, Yedi, Fu Song, and Jun Sun. "QEBVerif: Quantization Error Bound Verification of Neural Networks." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37703-7_20.

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AbstractTo alleviate the practical constraints for deploying deep neural networks (DNNs) on edge devices, quantization is widely regarded as one promising technique. It reduces the resource requirements for computational power and storage space by quantizing the weights and/or activation tensors of a DNN into lower bit-width fixed-point numbers, resulting in quantized neural networks (QNNs). While it has been empirically shown to introduce minor accuracy loss, critical verified properties of a DNN might become invalid once quantized. Existing verification methods focus on either individual neu
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Chugh, Aarti, Charu Jain, Priti Singh, and Preeti Rana. "Learning Approach for Offline Signature Verification Using Vector Quantization Technique." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13728-5_38.

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Valev, Ventzeslav. "A model-based image quantization technique for supervised image recognition." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57233-3_17.

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Gantasala, Raghu, and Munaga V. N. K. Prasad. "New Quantization Technique in Semi-fragile Digital Watermarking for Image Authentication." In Information Systems, Technology and Management. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00405-6_27.

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Sanyal, Nandita, Amitava Chatterjee, and Sugata Munshi. "Modified Bacterial Foraging Optimization Technique for Vector Quantization-Based Image Compression." In Computational Intelligence in Image Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30621-1_7.

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U., KinTak, Nian Ji, Dongxu Qi, and Zesheng Tang. "An Adaptive Quantization Technique for JPEG Based on Non-uniform Rectangular Partition." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27323-0_23.

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Kekre, H. B., Saylee M. Gharge, and Tanuja K. Sarode. "Tumor demarcation in mammographic images using vector quantization technique on entropy images." In Thinkquest~2010. Springer India, 2011. http://dx.doi.org/10.1007/978-81-8489-989-4_48.

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Conference papers on the topic "Quantization technique"

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Song, Huayue, Lei Qian, Guangzu He, Yongfu Li, and Yan Liu. "An Incremental Zoom ADC With Quantization Level Shifting Technique For Over-Ranging Reduction." In 2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2024. https://doi.org/10.1109/apccas62602.2024.10808792.

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Refai, Wail M., N. Zaibi, and Gerald R. Kane. "Efficient vector quantization technique for images." In EI 92, edited by James R. Sullivan, Benjamin M. Dawson, and Majid Rabbani. SPIE, 1992. http://dx.doi.org/10.1117/12.58317.

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Kekre, H. B., T. K. Sarode, K. Raut, and R. Tahiliani. "Vector quantization using global codebook technique." In the International Conference & Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/1980022.1980032.

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"A NEW TECHNIQUE FOR COLOR IMAGE QUANTIZATION." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001370101470150.

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Osberger, Wilfried M., Anthony J. Maeder, and Neil W. Bergmann. "Perceptually based quantization technique for MPEG encoding." In Photonics West '98 Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 1998. http://dx.doi.org/10.1117/12.320106.

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Nurminen, Jani, Sakari Himanen, and Anssi Rämö. "Efficient technique for quantization of pitch contours." In Speech Prosody 2006. ISCA, 2006. http://dx.doi.org/10.21437/speechprosody.2006-127.

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Costa, Laryssa L. O., Jose E. G. Medeiros, Jose A. A. de Andrade, and Sandro A. P. Haddad. "Nonlinear Quantization Technique for Multibit Sigma-Delta Modulators." In 2020 18th IEEE International New Circuits and Systems Conference (NEWCAS). IEEE, 2020. http://dx.doi.org/10.1109/newcas49341.2020.9159816.

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Esakkirajan, S., T. Veerakumar, and P. Navaneethan. "Adaptive vector quantization technique for retinal image compression." In 2008 International Conference on Computing, Communication and Networking (ICCCN). IEEE, 2008. http://dx.doi.org/10.1109/icccnet.2008.4787724.

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Sun, Ting, Qi Yu, Yuyu Lin, Chengze Li, Jing Li, and Ning Ning. "Equivalent quantization correction technique for Pipelined SAR ADC." In 2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT). IEEE, 2020. http://dx.doi.org/10.1109/icsict49897.2020.9278403.

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Mait, Joseph N. "Propagation of quantization error in a computer-generated hologram design algorithm." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.wbb2.

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One technique for designing Fourier holograms is an iterative algorithm wherein constraints are alternately placed on the reconstruction, or response, of the hologram and on the hologram itself. Although the ability of the algorithm to reduce quantization error is known,1 the relationship between the quantization scheme and quantization error as a function of iteration number has not been previously considered. A preliminary model for the propagation of quantization error within the iterative algorithm has been developed and is presented. The discussion is motivated using the dual-phase constr
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