Results 11 to 20 of about 178,882 (183)
New Method to Reduce the Size of Codebook in Vector Quantization of Images [PDF]
The vector quantization method for image compression inherently requires the generation of a codebook which has to be made available for both the encoding and decoding processes.
Sahar Ahmed
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Multiple-Description Multistage Vector Quantization
Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image coding.
Pradeepa Yahampath
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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).
Jia Ye +5 more
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In today’s world of computation, data compression takes vigorous part in most of the real–time and embedded system applications. Some of such end uses are essentially derived for specific task, however their realization are not described and delineated ...
Mahendra M. Dixit, C. Vijaya
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Penelitian ini bertujuan untuk memberikan rekomendasi dari hasil perbandingan antara metode jaringan syaraf tiruan menggunakan metode backpropagation dan learning vector quantization (LVQ) dalam melakukan pengenalan pola.
Yeka Hendriyani
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Light-cone quantization of scalar field on time-dependent backgrounds
We discuss what is light-cone quantization on a curved spacetime also without a null Killing vector. Then we consider as an example the light-cone quantization of a scalar field on a background with a Killing vector and the connection with the second ...
Andrea Arduino, Igor Pesando
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Adaptive multistage vector quantization [PDF]
The authors present a novel multiple-stage vector-quantization method that allows the adaptation of the quantizer to the signal to be coded. This adaptation is computationally very simple and is made with no increase in bit rate. The resulting quantizer provides a robust performance across different speakers and environments. It has been applied to the
Rodríguez Fonollosa, José Adrián +1 more
openaire +2 more sources
Approximate Nearest Neighbor Search by Residual Vector Quantization
A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its performance on unstructured vectors is limited.
Cheng Wang, Tao Guan, Yongjian Chen
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Results on lattice vector quantization with dithering [PDF]
The statistical properties of the error in uniform scalar quantization have been analyzed by a number of authors in the past, and is a well-understood topic today. The analysis has also been extended to the case of dithered quantizers, and the advantages
Kiraç, Ahmet, Vaidyanathan, P. P.
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Materi Learning vector quantization pada mata kuliah jaringan saraf tiruan bagi sebagian mahasiswa dirasa sulit untuk dipahami. Materi learning vector quantization dirasa sulit oleh mahasiswa pada soal penyelesaian langkah-langkah menentukan pengkodean ...
Cahyoko Hariya Pamilu, Ardi Pujiyanta
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