نتایج جستجو برای: second quantization

تعداد نتایج: 637907  

1994
D. JURIEV

A geometric interpretation of quantum self–interacting string field theory is given. Relations between various approaches to the second quantization of an interacting string are described in terms of the geometric quantization. An algorythm to construct a quantum nonperturbative interacting string field theory in the quantum group formalism is proposed. Problems of a metric background (in)depen...

2010
Vipula Singh Navin Rajpal K. Srikanta Murthy

Applications, which need to store large database and/or transmit digital images requiring high bit-rates over channels with limited bandwidth, have demanded improved image compression techniques. This paper describes practical and effective image compression system based on neuro-fuzzy model which combines the advantages of fuzzy vector quantization with neural network and wavelet transform. Th...

In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

Journal: :International Journal of Modern Physics 2022

The second quantization of the quaternionic fermionic field is undertaken using real Hilbert space approach to quantum mechanics ([Formula: see text]QM). solution responds an open problem theory, and launches basis development interaction theory.

2001
Çagri Özgenc Etemoglu Vladimir Cuperman

This paper presents a matching pursuits sinusoidal speech coder which incorporates new techniques including a novel vector quantization (VQ) technique used for the weighted quantization of spectral magnitude vector, and an interframe quantization of spectral magnitudes using an interpolation matrix that minimize the weighted interpolation error. The paper describes a novel vector quantization t...

1994
Andrew B. Watson

Many image compression standards (JPEG, MPEG, H.261) are based on the Discrete Cosine Transform (DCT). However, these standards do not specify the actual DCT quantization matrix. We have previously provided mathematical formulae to compute a perceptually lossless quantization matrix. Here I show how to compute a matrix that is optimized for a particular image. The method treats each DCT coeffic...

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