碼矢 的英文怎麼說
中文拼音 [mǎshǐ]
碼矢
英文
code vector-
Three commixed still image coding algorithms are proposed based on them and such ideas as : zerotree coding, wmse ( which is based on mankind visual characteristics ), classified vector quantization with different vector structures and classification methods. the chapter gives the principium analysis, realization schemes and simulation results of the proposed algorithms
在此基礎上,結合零樹編碼思想,以及基於人眼視覺特性和分類矢量量化的思想,根據不同的矢量構成和分類方法提出了三種混合型靜止圖像編碼方法,給出了演算法原理的分析、實現方案和模擬結果,最後對本章方法作出分析總結。A coding scheme is proposed to eliminate the redundancy of output vectors in pyramidal lattice vector quantization ( plvq ). a fast algorithm of labeling lattice points and a fast algorithm of finding lattice points are presented. and the transmission priority in case of asynchronous transfer mode is suggested
提出了一種與圖象本身無關的熵編碼方法去消除金字塔格型矢量量化( plvq )的輸出冗餘:同時也提出了由格點輸出索引和由索引輸出格點的快速演算法;而且還根據異步傳輸模式( atm )的特點,選擇了傳輸的優先級。Experiments show that the efficient motion estimation algorithm proposed can further reduce block matching distortion computations relative to conventional fast motion estimation algorithms with neglectable coding efficiency loss ( within 0. 1db )
提出一種基於節點模型的可變形塊匹配運動估計演算法來搜索最佳運動矢量。實驗表明,在編碼性能損失很小的條件下,可以使得運動搜索塊匹配的運算量在通常快速運動搜索演算法的基礎上下降61 % 。Firstly, four alternative mode was introduces for h. 263 data compress arithmetic : the mode of nonrestrictive sportive vector, syntax - based arithmetic coding mode, the mode of supernal forecast, and the mode of pb frame
首先詳細介紹了數據壓縮演算法h . 263以及h . 263演算法的四個可選模式:非限制運動矢量模式;基於語法的算術編碼模式;高級預測模式; pb幀模式。In order to obtain a high - quality speech codec, the phase information of speech should be included in codec. in this thesis, a method for quantizing the phase of sew ( slowly evolving waveform ) and reconstructing sew ’ s phase with cubic polynomial interpolation is given based on the perceptual weighting analysis - by - synthesis ( a - b - s ) vector quantizer for the phase spectrum in wi coder
本文基於感覺加權相位譜分析合成( abs - analysis - by - synthesis )矢量量化方法,給出了一種wi編碼器中慢漸變波形( sew - slowlyevolvingwaveform )的相位信息量化及合成端相位的三次多項式插值重建方法。The high entropy of the real and imaginary parts of sar raw data makes lossless - coding compression techniques unfit for sar raw data. in chapter 4, some compression algorithms for sar raw data compression, such as baq, upq, bavq and wt - subbandcade are analyzed and discussed. an improved unrestricted polar quantizer ( upq ), which can enhance the performance of the quantizer is put forward
第四章分別對塊自適應量化( baq )演算法、非約束式極坐標量化( upq )演算法、塊自適應矢量量化( bavq )演算法和小波變換子帶編碼演算法進行了分析和研究,並詳細討論了這些演算法在工程實際中的應用。Then this paper makes some overview and simulation on the application of three precoding algorithms under the flat fading channel, which are linear preequalization, tomlinson - harashima precoding ( thp ) and lattice reduction - aided ( lll ) vector precoding
本文對三種常見的預編碼演算法在平坦衰落通道下的應用進行了綜述和模擬研究,包括迫零線性預均衡、 thp預編碼和格約簡輔助矢量預編碼等演算法。After about two years " insisting and hard working, this goal set at the beginning has become true. the developed c54x general assembly program for g. 729 speech signal compressing algorithm has passed the tracking with more than 3, 000 unitary standard measuring vectors. g. 729 speech signal compressing compiler using c54x general assembly program has been accomplished real - timely, and undistorted rebuilt speech signals have been obtained
因此本課題選用c54x的通用匯編語言編程實現g . 729語音壓縮編碼演算法,調試並通過了統一標準測試矢量三千多幀,最終在5402開發實驗板上實時實現了g . 729語音壓縮編碼器,獲得未失真的重建語音信號。It synthesizes the excellence of wave coding and parameter coding, adopts vector quantity, analyse - synthesize, perceptual weighting, therefore, gains good speech coding quality at 8kbit / s. cs - acelp can be used in individual telecom, iphone, c / n, microwave telecom and isdn
Cs - acelp演算法綜合了波形編碼和參數編碼的優點,以自適應預測編碼技術為基礎,採用了矢量量化、合成分析和感覺加權等技術,在8kbit / s速率上獲得了較高的語音編碼質量。Vector sum excited linear prediction selp
矢量和激勵性預測編碼Vector sum excited linear prediction
矢量和激勵性預測編碼Codebook sharing in multi - stage vector quantization
多級矢量量化中的碼本共享The classical algorithm of vq codebook design ? lbg algorithm and traditional codeword search algorithms are reviewed
回顧了經典的矢量量化碼書設計演算法? ? lbg演算法和傳統的碼字搜索演算法。In particular, the current research status and development history of vq codebook design and codword search are also introduced
特別是矢量量化碼書設計和碼字搜索的發展歷程和研究現狀。The codec supports vector images metafiles
編碼解碼器支持矢量圖像(圖元文件) 。Frequently used major coding methods include predical code, transform code, vectol quantization, wavelet transform code, fractal code, ect
常見的主要編碼方法有預測編碼、變換編碼、矢量量化編碼、小波編碼、分形編碼等等。Image code is a developing field on image compress and a lot of methods on that has now generated, such as statistic code, predict code, transform code, subband code, model code, wavelet transform code, vector quantization code, neural networks code, fractal code etc. in this thesis, we mainly describe our work on vector quantization code and wavelet transform code on image compress
常見的圖像壓縮編碼方法有:統計編碼,預測編碼,變換編碼,子帶編碼,模型基編碼,小波變換編碼,矢量量化編碼,神經網路編碼,分形編碼等。本文以矢量量化壓縮編碼和小波變換壓縮編碼這兩種圖像壓縮編碼方法為主要研究對象。Image code is a developing field on image compression and a lot of methods on that has now generated, such as predict code, transform code, statistic code, subband code, fractal code, model code, vector quantization code, neural networks code, wavelet transform code, etc. in this paper, we set focus on the wavelet transform code
常見的主要編碼方法有預測編碼,變換編碼,統計編碼,子帶編碼,分形編碼、模型編碼、矢量量化編碼,神經網路編碼,小波變換編碼等等。本文主要研究基於小波變換的圖像編碼方法。Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients, this dissertation fully exploits the following theories and methods : scalar quantization, vector quantization, trellis coded quantization, trellis coded vector quantization, vector classification, codebook expansion and weighted mean square error rule basing mankind visual characteristics, etc. from different angles of information amalgamation, it develops several innovative algorithms of image compression and coding, gives their realization schemes, and makes plentiful simulation tests
本文在分析了圖像小波變換的原理和子帶系數空間及頻率分佈特點的基礎上,充分利用標量量化、矢量量化、網格編碼量化、網格編碼矢量量化、矢量分類、碼書擴展和基於人眼視覺特性的加權均方誤差準則等思想和方法,從信息融合的不同角度展開了對小波圖像的壓縮編碼研究,同時也討論了這些方法在靜止圖像量化中的具體應用。This chapter first introduces the principium of trellis coded vector quantization, then focuses on analyzing the algorithm of wavelet image classified weighted tcvq and its realization process, also gives tcvq application to wavelet image coding and its simulation results
首先分析了網格編碼矢量量化的原理,在第三章矢量量化的基礎上詳細介紹了小波圖像分類加權tcvq演算法的原理和實現過程,並給出了tcvq在小波圖像量化中的應用實例和模擬結果。分享友人