نتایج جستجو برای: quantization technique

تعداد نتایج: 633856  

2004
C Viviescas

A recently developed technique for the system–and–bath quantization of open optical cavities is applied to three resonator geometries: A one dimensional dielectric, a Fabry–Perot resonator, and a dielectric disk. The system–and–bath Hamiltonian for these geometries is derived starting from Maxwell’s equations and employed to compute the electromagnetic fields, the resonances, and the cavity gai...

2003
Shintaro Momose Kentaro Sano Tadao Nakamura

Vector quantization(VQ) is an attractive technique for lossy data compression, which has been a key technology for data storage and/or transfer. So far, various competitive learning (CL) algorithms have been proposed to design optimal codebooks presenting quantization with minimized errors. However, their practical use has been limited for large scale problems, due to the computational complexi...

2000
Chunyan Li Vladimir Cuperman

This paper presents a 4 kb/s Analysis-by-Synthesis Multimode Harmonic Coder (AbS-MHC). Novel features of this coder include a signal modification technique that allows time-domain analysisby-synthesis parameter estimation in sinusoidal coding framework, and a frequency-domain transition speech model with improved parameter estimation and quantization schemes. An efficient quantization scheme fo...

رسول رکنی زاده, ,

  In this paper we try to formulate the Berezin quantization on projective Hilbert space P(H) and use its geometric structure to construct a correspondence between a given classical theory and a given quantum theory. It wil be shown that the star product in berezin quantization is equivalent to the Posson bracket on coherent states manifold M, embodded in P(H), and the Berezin method is used to...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1995
Raja Bala Charles A. Bouman Jan P. Allebach

Proposes an efficient vector quantization (VQ) technique called sequential scalar quantization (SSQ). The scalar components of the vector are individually quantized in a sequence, with the quantization of each component utilizing conditional information from the quantization of previous components. Unlike conventional independent scalar quantization (ISQ), SSQ has the ability to exploit interco...

2007
M. B. Badem H. Kodikara Arachchi H. Kodikaraarachchi S. Worrall

Due to its lightweight encoder architecture, the Distributed Video Coding (DVC) concept has been seen as an attractive alternative to its conventional counterparts for a number of applications. Exceptionally low computational complexity has been achieved by moving redundancy exploitation to the decoder. However, going against this norm, redundancy exploitation techniques such as DCT transform a...

2011
Jonathan Pinel Laurent Girin

Data hiding consists in hiding/embedding binary information within a signal in an imperceptible way. In this study we propose a high-rate data hiding technique suitable for uncompressed audio signals (PCM as used in Audio-CD and .wav format). This technique is appropriate for non-securitary applications, such as enriched-content applications, that require a large bitrate but no particular robus...

2011
A. Cristofaro S. Pettinari

This paper addresses an extension of the fault accommodation problem for sampleddata systems resulting from quantization of continuous linear systems presented by the authors in a previous in work. Only the output signal has been assumed to be measurable and a control reconfiguration technique is developed in order to cope with stepwise actuator faults and quantization errors. A simulation stud...

Journal: :Sig. Proc.: Image Comm. 2005
Giuseppe Campobello Mirko Mantineo Giuseppe Patanè Marco Russo

In this paper, LBGS, a new parallel/distributed technique for Vector Quantization is presented. It derives from the well known LBG algorithm and has been designed for very complex problems where both large data sets and large codebooks are involved. Several heuristics have been introduced to make it suitable for implementation on parallel/distributed hardware. These lead to a slight deteriorati...

2009
H. B. KEKRE TANUJA K. SARODE

Abstract Vector Quantization is lossy data compression technique and has various applications. Key to Vector Quantization is good codebook. Once the codebook size is fixed then the MSE reaches a value beyond which it cannot be reduced by using codebook generation algorithms. In this paper we are proposing multilevel codebook generation algorithm. For demonstration we have used codebooks obtaine...

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