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   Articles with "vector quantization" as a keyword



Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application

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recommendations! Published in 2018 at "Journal of Medical Systems"

DOI: 10.1007/s10916-018-1090-7

Abstract: The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector Quantization (CVQ) compression algorithm with codebook optimization by Simulated Annealing (SA) for… read more here.

Keywords: compression; contextual vector; compression images; vector quantization ... See more keywords

Image compression based on vector quantization using cuckoo search optimization technique

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recommendations! Published in 2018 at "Ain Shams Engineering Journal"

DOI: 10.1016/j.asej.2016.09.009

Abstract: Abstract Most common vector quantization (VQ) is Linde Buzo Gray (LBG), that designs a local optimal codebook for image compression. Recently firefly algorithm (FA), particle swarm optimization (PSO) and Honey bee mating optimization (HBMO) were… read more here.

Keywords: search; optimization; cuckoo search; vector quantization ... See more keywords

Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI)

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3056021

Abstract: In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each… read more here.

Keywords: vector quantization; learning vector; generalized learning; afnglvq ... See more keywords

NSVQ: Noise Substitution in Vector Quantization for Machine Learning

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3147670

Abstract: Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule. Hence, the backpropagation… read more here.

Keywords: quantization; noise; machine learning; vector quantization ... See more keywords

Improving Performance of Digital Mobile Fronthaul Employing 2-D Vector Quantization With Vector Linear Prediction

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recommendations! Published in 2019 at "IEEE Photonics Journal"

DOI: 10.1109/jphot.2019.2898263

Abstract: In this paper, a two-dimensional (2-D) vector quantization with vector linear prediction (VLP-VQ) is proposed to improve the transmission performance of the digital mobile fronthaul (MFH). Compared with the conventional vector quantization based on k-means… read more here.

Keywords: vector quantization; performance; quantization; vector linear ... See more keywords

Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems

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recommendations! Published in 2024 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2024.3415633

Abstract: This letter presents a finite-rate deep-learning (DL)-based channel state information (CSI) feedback method for massive multiple-input multiple-output (MIMO) systems. The presented method provides a finite-bit representation of the latent vector based on a vector-quantized variational… read more here.

Keywords: deep learning; vector; csi feedback; vector quantization ... See more keywords

An Efficient Vector Quantization-Based Semantic Communication System for Virtual Reality Video Transmission

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recommendations! Published in 2025 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2025.3559583

Abstract: The large volume of data associated with virtual reality (VR) video presents significant challenges for wireless transmission. This letter proposes an efficient transmission system for VR video, based on semantic vector quantization (VQ) and moving… read more here.

Keywords: transmission; system; video; vector quantization ... See more keywords
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A Modular and Reconfigurable Pipeline Architecture for Learning Vector Quantization

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recommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2018.2804946

Abstract: Learning vector quantization (LVQ) neural networks have already been successfully applied for image compression and object recognition. In this paper, we propose a modular and reconfigurable pipeline architecture (MRPA) for LVQ. The MRPA consists of… read more here.

Keywords: vector; pipeline architecture; reconfigurable pipeline; learning vector ... See more keywords

Sample-Grouping-Based Vector Quantization for Secret Key Extraction from Atmospheric Optical Wireless Channels

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recommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3170724

Abstract: Vector quantization is a viable solution to the problem as to full utilization of randomness provided by statistically dependent channel measurements in secret key extraction from randomly fluctuating channels. By aiming at atmospheric optical wireless… read more here.

Keywords: secret key; vector quantization; quantization; vector ... See more keywords

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/7140552

Abstract: DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction.… read more here.

Keywords: vector quantization; foraging optimization; manta ray; ray foraging ... See more keywords

Adaptive Vector Quantization for Lossy Compression of Image Sequences

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recommendations! Published in 2017 at "Algorithms"

DOI: 10.3390/a10020051

Abstract: In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes… read more here.

Keywords: compression; image sequences; lossy compression; vector quantization ... See more keywords