Relevant bibliographies by topics / High-Resolution quantization

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

Academic literature on the topic 'High-Resolution quantization'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "High-Resolution quantization"

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Korten, Pim, Jesper Jensen, and Richard Heusdens. "High-Resolution Spherical Quantization of Sinusoidal Parameters." IEEE Transactions on Audio, Speech and Language Processing 15, no. 3 (2007): 966–81. http://dx.doi.org/10.1109/tasl.2006.885929.

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Viswanathan, H., and R. Zamir. "On the whiteness of high-resolution quantization errors." IEEE Transactions on Information Theory 47, no. 5 (2001): 2029–38. http://dx.doi.org/10.1109/18.930935.

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Kreitmeier, Wolfgang, and Tamás Linder. "High-Resolution Scalar Quantization With Rényi Entropy Constraint." IEEE Transactions on Information Theory 57, no. 10 (2011): 6837–59. http://dx.doi.org/10.1109/tit.2011.2165809.

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Goldberg, Naftaly. "Colour image quantization for high resolution graphics display." Image and Vision Computing 9, no. 5 (1991): 303–12. http://dx.doi.org/10.1016/0262-8856(91)90035-n.

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Lookabaugh, T. D., and R. M. Gray. "High-resolution quantization theory and the vector quantizer advantage." IEEE Transactions on Information Theory 35, no. 5 (1989): 1020–33. http://dx.doi.org/10.1109/18.42217.

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Aurzada, Frank, Steffen Dereich, Michael Scheutzow, and Christian Vormoor. "High resolution quantization and entropy coding of jump processes." Journal of Complexity 25, no. 2 (2009): 163–87. http://dx.doi.org/10.1016/j.jco.2008.10.002.

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AL-Qaysi, Hayder Khaleel, Tahreer Mahmood, and Khalid Awaad Humood. "Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1493. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1493-1500.

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The massive MIMO system is one of the main technologies in the fifth generation (5G) of telecommunication systems, also recognized as a highly large-scale system. Constantly in massive MIMO systems, the base station (BS) is provided with a large number of antennas, and this large number of antennas need high-quantization resolution levels analog-to-digital converters (ADCs). In this situation, there will be more power consumption and hardware costs. This paper presents the simulation performance of a suggested method to investigate and analyze the effects of different quantization resolution l
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AL-Qaysi, Hayder Khaleel, Tahreer Mahmood, and Khalid Awaad Humood. "Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1493–500. https://doi.org/10.11591/ijeecs.v23.i3.pp1493-1500.

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The massive MIMO system is one of the main technologies in the fifth generation (5G) of telecommunication systems, also recognized as a highly large-scale system. Constantly in massive MIMO systems, the base station (BS) is provided with a large number of antennas, and this large number of antennas need high-quantization resolution levels analog-to-digital converters (ADCs). In this situation, there will be more power consumption and hardware costs. This paper presents the simulation performance of a suggested method to investigate and analyze the effects of different quantization resolution l
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Jiang, Jun, Lianping Guo, Kuojun Yang, and Huiqing Pan. "Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/947052.

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Vertical resolution is an essential indicator of digital storage oscilloscope (DSO) and the key to improving resolution is to increase digitalizing bits and lower noise. Averaging is a typical method to improve signal to noise ratio (SNR) and the effective number of bits (ENOB). The existing averaging algorithm is apt to be restricted by the repetitiveness of signal and be influenced by gross error in quantization, and therefore its effect on restricting noise and improving resolution is limited. An information entropy-based data fusion and average-based decimation filtering algorithm, proceed
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Zhang, Wence, Jing Xia, and Xu Bao. "Massive MIMO Systems with Low-Resolution ADCs: Achievable Rates and Allocation of Quantization Bits." Wireless Communications and Mobile Computing 2023 (February 17, 2023): 1–12. http://dx.doi.org/10.1155/2023/4012841.

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In massive multiple-input multiple-output (MIMO) systems, the large number of high-resolution analog-to-digital converters (ADCs) lead to high hardware cost and power consumption. In this work, the uplink achievable rates of massive MIMO systems with low-resolution ADCs are studied with consideration of both “Uniform-ADC” that uses ADCs with the same number of quantization bits and “Mixed-ADC” that allows the use of ADCs with different resolutions. By leveraging an additive quantization noise model (AQNM), the asymptotic achievable rates are obtained for maximum ratio combining (MRC), zero-for
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Dissertations / Theses on the topic "High-Resolution quantization"

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Zou, Hang. "Goal oriented communications : the quantization problem." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG021.

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Le paradigme classique pour concevoir un émetteur (codeur) et un récepteur (décodeur) est de concevoir ces éléments en assurant que l'information reconstruite par le récepteur soit suffisamment proche de l'information que l'émetteur a mis en forme pour l'envoyer sur le médium de communication. On parle de critère de fidélité ou de qualité de reconstruction (mesurée par exemple en termes de distorsion, de taux d'erreur binaire, de taux d'erreur paquet ou de probabilité de coupure de la communication).Le problème du paradigme classique est qu'il peut conduire à un investissement injustifié en te
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Lagos, Paredes Maureen Joel. "Efeitos estruturais na quantização da condutância de nanofios metálicos." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259172.

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Orientador: Daniel Mario Ugarte<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Fisica Gleb Wataghin<br>Made available in DSpace on 2018-08-08T07:13:58Z (GMT). No. of bitstreams: 1 LagosParedes_MaureenJoel_M.pdf: 3881181 bytes, checksum: 517e8507ccdf35f0fa7a7f9fcb4b3b84 (MD5) Previous issue date: 2007<br>Resumo: O estudo de fios metálicos de tamanho atômico (NF's) tem atraído grande interesse devido aos novos efeitos químicos e físicos neles observados. Entre esses novos fenômenos podemos destacar a quantização da condutância, efeito que deve ser fundamental no de
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Book chapters on the topic "High-Resolution quantization"

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Xu, Naiting, Yi Wang, Xing Chen, and Haiming Lian. "Vector Quantization: Timeline-Based Location Data Extraction and Route Fitting for Crowdsourcing." In Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018). Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6553-9_4.

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Kim, Hwa-Young, Rae-Hong Park, and Ji-Eun Lee. "Image Representation Using a Sparsely Sampled Codebook for Super-Resolution." In Research Developments in Computer Vision and Image Processing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4558-5.ch001.

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In this chapter, the authors propose a Super-Resolution (SR) method using a vector quantization codebook and filter dictionary. In the process of SR, we use the idea of compressive sensing to represent a sparsely sampled signal under the assumption that a combination of a small number of codewords can represent an image patch. A low-resolution image is obtained from an original high-resolution image, degraded by blurring and down-sampling. The authors propose a resolution enhancement using an alternative l1 norm minimization to overcome the convexity of l0 norm and the sparsity of l1 norm at t
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Chehaitly, Mouhamad, Mohamed Tabaa, Fabrice Monteiro, Safa Saadaoui, and Abbas Dandache. "Ultra-High Performance and Low-Cost Architecture of Discrete Wavelet Transforms." In Wavelet Theory [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94858.

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This work targets the challenging issue to produce high throughput and low-cost configurable architecture of Discrete wavelet transforms (DWT). More specifically, it proposes a new hardware architecture of the first and second generation of DWT using a modified multi-resolution tree. This approach is based on serializations and interleaving of data between different stages. The designed architecture is massively parallelized and sharing hardware between low-pass and high-pass filters in the wavelet transformation algorithm. Consequently, to process data in high speed and decrease hardware usag
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Freeman, Ray. "Energy levels." In Spin Choreography. Oxford University PressOxford, 1998. http://dx.doi.org/10.1093/oso/9780198504818.003.0001.

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Abstract Spectroscopy provides direct and incontrovertible evidence of quantization of energy, and nowhere is this more simply illustrated than in magnetic resonance experiments. Textbooks on quantum mechanics would surely have chosen spin systems as their starting point, rather than atomic spectra, had magnetic resonance been discovered at an earlier date. The resonance lines which we observe in high resolution NMR spectra are transitions between these energy levels. However, in contrast to conventional spectroscopy, the separation between levels is a function of the applied magnetic field. M
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Bhatele, Kirti Raj, and Devanshu Tiwari. "The Fundamentals of Medical Image Restoration." In Medical Image Processing for Improved Clinical Diagnosis. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5876-7.ch004.

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This chapter simply encapsulates the basics of image restoration, various noise models, and degradation model including some blur and image restoration filters. The mining of high resolution information from the low-resolution images is a very vital task in several applications of digital image processing. In recent times, a lot of research work has been carried out in this field in order to improve the resolution of real medical images especially when the given images are corrupted with some kind of noise. The displayed images are the result of the various stages that might cause imperfection
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Barakbah Ali Ridho and Kiyoki Yasushi. "An Image Search System with Analytical Functions for 3D Color Vector Quantization and Cluster-based Shape and Structure Features." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-477-1-169.

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The application area of image retrieval systems has widely spread to the WWW and multimedia database environments. This paper presents an image search system with analytical functions for combining shape, structure, and color features. The system pre-processes an image segmentation from hybrid color systems of HSL and CIELAB. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system extracts three features of an image which are color, shape and structure. We apply the 3D Color V
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Wu Jia-Chyi and Shih Ming-Kai. "Quadtree Segmented Wavelet Transform Image Coding." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-484-8-1258.

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Wavelet transform has been received a great interest because it provides a multi-resolution representation of images. Wavelet transforms have been shown to achieve high compression ratios while maintaining very good image quality, due to the fact that edge characteristics of images can be well preserved by this method at low bit ratesBy way of vector quantization technique, the wavelet transformed coefficients can be further compressed. For real time image compression, achieving high data compression ratio and coding efficiency at the same time are both important. In this study, we have propos
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Conference papers on the topic "High-Resolution quantization"

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Wang, Zaixiang, Huanliang Luo, Bin Xie, and Yesong Li. "Quantization Error Decoupling in Vector-tracking Observer for High-speed Control of Permanent Magnet Synchronous Motors with Low-resolution Encoders." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715926.

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Misra, Vinith, Vivek K. Goyal, and Lav R. Varshney. "High-Resolution Functional Quantization." In 2008 Data Compression Conference DCC. IEEE, 2008. http://dx.doi.org/10.1109/dcc.2008.100.

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Misra, Vinith, Vivek K. Goyal, and Lav R. Varshney. "High-resolution distributed functional quantization." In 2008 Information Theory and Applications Workshop (ITA). IEEE, 2008. http://dx.doi.org/10.1109/ita.2008.4601035.

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Gunturk, C. Sinan, and Weilin Li. "High-performance quantization for spectral super-resolution." In 2019 13th International conference on Sampling Theory and Applications (SampTA). IEEE, 2019. http://dx.doi.org/10.1109/sampta45681.2019.9030941.

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Poberezhskiy, Y. S. "Adaptive high-speed high-resolution quantization for image sensors." In SPIE Optical Engineering + Applications, edited by Khan M. Iftekharuddin and Abdul A. S. Awwal. SPIE, 2009. http://dx.doi.org/10.1117/12.828571.

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McDonnell, Mark D., Pierre-Olivier Amblard, Nigel G. Stocks, Steeve Zozor, and Derek Abbott. "High-resolution optimal quantization for stochastic pooling networks." In Smart Materials, Nano- and Micro-Smart Systems, edited by Axel Bender. SPIE, 2006. http://dx.doi.org/10.1117/12.695984.

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Khoshnevis, Behrouz, and Wei Yu. "High resolution quantization codebook design for multiple-antenna fading channels." In 2010 25th Biennial Symposium on Communications. IEEE, 2010. http://dx.doi.org/10.1109/bsc.2010.5473005.

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Khoshnevis, Behrouz, and Wei Yu. "High resolution channel quantization rules for multiuser spatial multiplexing systems." In 2010 44th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2010. http://dx.doi.org/10.1109/ciss.2010.5464829.

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Yin, Leyi, Yongtae Kim, and Peng Li. "High effective-resolution built-in jitter characterization with quantization noise shaping." In the 48th Design Automation Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2024724.2024896.

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Heusdens, Richard, W. Bastiaan Kleijn, and Alexey Ozerov. "Entropy-Constrained High-Resolution Lattice Vector Quantization using a Perceptually Relevant Distortion Measure." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487603.

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