Results 91 to 100 of about 1,866,673 (365)
Adaptive Vector Quantization for Lossy Compression of Image Sequences
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 the input data in a single-
Raffaele Pizzolante+2 more
doaj +1 more source
Weighted universal bit allocation: optimal multiple quantization matrix coding [PDF]
We introduce a two-stage bit allocation algorithm analogous to the algorithm for weighted universal vector quantization (WUVQ). The encoder uses a collection of possible bit allocations (typically in the form of a collection of quantization matrices ...
Chou, P. A., Effros, M.
core
Advances in Topological Thermoelectrics: Harnessing Quantum Materials for Energy Applications
Topological materials offer a novel platform for thermoelectric energy conversion through unique band features, including band inversion, linear Dirac bands, surface states, and Berry curvature. These quantum characteristics enable enhanced longitudinal and transverse thermoelectric effects, establishing topological thermoelectrics as a promising ...
Guangsai Yang+8 more
wiley +1 more source
Handwriting Character Recognition using Vector Quantization Technique
This paper seeks to explore Learning Vector Quantization (LVQ) processing stage to recognize The Buginese Lontara script from Makassar as well as explaining its accuracy. The testing results of LVQ obtained an accuracy degree of 66.66 %. The most optimal
Haviluddin Haviluddin+5 more
doaj +1 more source
During the past ten years Vector Quantization (VQ) has developed from a theoretical possibility promised by Shannon's source coding theorems into a powerful and competitive technique for speech and image coding and compression at medium to low bit rates.
Gray, Robert M.
core +1 more source
A vector quantization approach to universal noiseless coding and quantization [PDF]
A two-stage code is a block code in which each block of data is coded in two stages: the first stage codes the identity of a block code among a collection of codes, and the second stage codes the data using the identified code.
Chou, Philip A.+2 more
core
Using scanning transmission X‐ray microscopy, nonreciprocal spin‐wave behavior is revealed in real space in Fe/Gd multilayers with perpendicular magnetic anisotropy, highlighting their functionality for magnonic logic circuits operating at GHz frequencies.
Ping Che+12 more
wiley +1 more source
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
doaj +1 more source
This paper addresses logarithmic vector quantizers with dynamic sensitivity design for stochastic continuous time linear system with a feedback control law.
Jiashuo Wang, Zhiyu Xi, Liang Sun
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Massive MIMO Downlink 1-Bit Precoding with Linear Programming for PSK Signaling
Quantized massive multiple-input-multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a downlink multi ...
Jedda, Hela+3 more
core +1 more source