Fast Linde–Buzo–Gray (FLBG) Algorithm for Image Compression through Rescaling Using Bilinear Interpolation [PDF]
Vector quantization (VQ) is a block coding method that is famous for its high compression ratio and simple encoder and decoder implementation. Linde–Buzo–Gray (LBG) is a renowned technique for VQ that uses a clustering-based approach for finding the ...
Muhammmad Bilal +3 more
doaj +4 more sources
Efficient Channel Feedback Scheme for Multi-User MIMO Hybrid Beamforming Systems [PDF]
This paper proposes an efficient channel information feedback scheme to reduce the feedback overhead of multi-user multiple-input multiple-output (MU-MIMO) hybrid beamforming systems.
Won-Seok Lee, Hyoung-Kyu Song
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On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design [PDF]
Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm ...
Verusca Severo +4 more
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An Intelligent Power Transformers Diagnostic System Based on Hierarchical Radial Basis Functions Improved by Linde Buzo Gray and Single-Layer Perceptron Algorithms [PDF]
Transformers are fundamental and among the most expensive electrical devices in any power transmission and distribution system. Therefore, it is essential to implement powerful maintenance methods to monitor and predict their condition.
Mounia Hendel +4 more
doaj +2 more sources
Fast Codebook Generation Using Pattern Based Masking Algorithm for Image Compression
Vector Quantization (VQ) is a classical block coding technique used for image compression which achieves high compression using simple encoding and decoding process.
Muhammad Bilal +2 more
doaj +1 more source
Image compression based on vector quantization using cuckoo search optimization technique
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 designed which ...
Karri Chiranjeevi, Uma Ranjan Jena
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Fast vector quantization using a Bat algorithm for image compression
Linde–Buzo–Gray (LBG), a traditional method of vector quantization (VQ) generates a local optimal codebook which results in lower PSNR value. The performance of vector quantization (VQ) depends on the appropriate codebook, so researchers proposed ...
Chiranjeevi Karri, Umaranjan Jena
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Distributed Vector Quantization Based on Kullback-Leibler Divergence
The goal of vector quantization is to use a few reproduction vectors to represent original vectors/data while maintaining the necessary fidelity of the data.
Pengcheng Shen +2 more
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Text-Independent Speaker Verification Based on Information Theoretic Learning [PDF]
In this paper VQ (Vector Quantization) based on information theoretic learning is investigated for the task of text-independent speaker verification. A novel VQ method based on the IT (Information Theoretic) principles is used for the task of speaker ...
Sheeraz Memon +2 more
doaj
Distributed Vector Quantization over Sensor Network
A vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data.
Chunguang Li, Yiliang Luo
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