矢量量化編碼 的英文怎麼說
中文拼音 [shǐliángliánghuàbiānmǎ]
矢量量化編碼
英文
vqc vector quantitation coding- 矢 : Ⅰ名詞1. (箭) arrow 2. (尿) excrement; dung; feces 3. (姓氏) a surname Ⅱ動詞(發誓) vow; swear
- 量 : 量動1. (度量) measure 2. (估量) estimate; size up
- 編 : Ⅰ動詞1 (編織) weave; plait; braid 2 (組織; 排列) make a list; arrange in a list; organize; gr...
- 碼 : Ⅰ名詞(表示數目的符號或用具) a sign or object indicating number; code Ⅱ量詞1 (指一件事或一類的...
- 量化 : quantization量化器 quantizer; digitizer; 量化失真 quantizing distortion; 量化條件 quantum conditi...
- 編碼 : encoded; code; coded; encrypt; codogram; coding編碼表 encode table; 編碼程序 builder; 編碼尺 code...
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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。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 whole correlation - inheritance coding circuit system is designed, simulated and verified in verilog hdl on the candence systems
採用了硬體描述語言verilog對整個相關繼承矢量量化圖像編碼電路系統在cadence系統上進行了西安理工大學碩士論文設計、模擬及時序驗證。Firstly, based on conventional vq, a fast algorithm named equal - sum block - extending nearest neighbor search ( ebnns ) is presented, which not only can achieve the reconstructed image of full search algorithm but also can greatly reduce both the codeword search ratio and chip area. in order to improve coding efficiency, a new algorithm called correlation - inheritance coding is proposed, which is embedded in conventional vq system to improve compression ratio by re - encoding the indexes
首先,在普通矢量量化基礎上提出了等和值塊擴展最近鄰快速碼字搜索演算法( ebnns ) ,該演算法在圖像畫質達到窮盡搜索演算法的前提下,大大降低了碼字搜索率和硬體實現面積;為了提高編碼效率,在相關性編碼方面,提出了相關繼承編碼演算法,對普通矢量量化后的編碼索引進行無損重編碼。A prediction - based vector quantization method for image coding
一種基於預測的矢量量化圖像編碼方法In order to implement copyright protection and content authentication of the vq compressed data, the research work of this thesis focuses on the vq based watermarking algorithm
為了實現對矢量量化編碼多媒體數據的版權保護和內容認證,本文研究基於矢量量化的數字水印演算法。On the basis of deeply studying the melp algorithm, the paper will at last give an improved melp algorithm which can work at the rate of 800b / s
在這個基礎上,結合矢量量化技術,對現有melp編碼演算法作了一些改動。本文將提出一種改進的melp演算法,以3幀為單位組成超幀。Vector quantization ( vq ) is an important technology in the field of image compression, which is widely used in various applications such as speech coding, audio and video compression, and teleconferencing systems
矢量量化( vq )是近年來圖像壓縮研究中的重要技術,廣泛應用於語音編碼、音視頻壓縮和遠程會議等系統中。A stochastic competitive learning vector quantization algorithm for image coding
一種隨機競爭學習矢量量化圖像編碼演算法Different from other rank reduction methods, such as pca ( principal component analysis ) and vq ( vector quantization ), nmf ( nonnegative matrix factorization ) can get nonnegative, sparse basis vectors which make possible of the concept of a parts - based representation
與pca (主分量分析)和vq (矢量量化)等降維演算法不同, nmf (非負矩陣分解)演算法能夠分解出非負的,稀疏的特徵矩陣和編碼矩陣,能夠提取原始數據向量的局部特徵,使基於局部特徵進行分類的聚類演算法更容易實現。Based on a comprehensive research of image coding algorithm for correlation vq, novel algorithms are presented on two aspects in this paper, and corresponding vlsi coding circuit system is designed, simulated and verified
本論文在對相關矢量量化圖像編碼演算法進行深入分析的基礎上,在兩個方面提出了基於vlsi技術的新演算法,並進行了vlsi硬體設計、模擬模擬和時序驗證。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。In order to encode the parameters of sinusoidal model, the vector quantization techniques for amplitude parameters and the differential quantization for frequency parameters are proposed and discussed. at the same time, the frequency bin model, the random phase model and the zero phase model are also discussed
針對正弦模型參數的量化編碼,提出了幅度參數矢量量化、頻率參數差分量化等方法,並探討了頻率盒量化模型以及隨機相位和零相位模型等。Zerotrees and pyramidal lattice vector quantization for wavelet image coding
金字塔格型矢量量化的小波圖象編碼Application of neural network vector quantization technology in speech encoding
神經網路矢量量化技術在語音編碼中的應用This algorithm combined joint - component vector quantization respectively with zero block and zero tree coding, scanned three component of color image separately and simplified separate coding into joint scanning and joint encoding
該方法將聯合色彩分量矢量量化和零塊、零樹編碼方法巧妙結合,把彩色圖像的三個色彩分量單獨掃描,單獨編碼的過程簡化為聯合掃描和聯合編碼的過程。Through anatomizing ezw coding algorithm and taking the effects of human being ’ s vision characteristics on quality of reconstituting image. a improved zeretrees algorithm are put forward. at last a new image compression encoding algorithm based on wavelet transform and vector quantization is put forward. the experiment show, in very low bit rate, using the proposed algorithm, the reconstructed image is superior to that of ezw in both of perception and psnr
最後,在小波樹的基礎上,通過對矢量量化的研究,本文提出了一種基於四叉樹結構新的小波樹矢量量化壓縮編碼演算法,實驗證明,在較高壓縮比的情況下,使用此方法得到的重構圖象質量(視覺效果和峰值信噪比)比通常的小波壓縮演算法有了較大的提高。A fast image encoding algorithm based on correlation predictive vector quantization
一種快速相關預測矢量量化的圖像編碼演算法Correlation vector quantization ( vq ) is an effective technology for data compression. it is widely used in various image - coding systems because of its high compression ratio
相關矢量量化是一種有效的數據壓縮技術,因其具有較高的壓縮率而被廣泛應用於各種圖像壓縮編碼系統中。The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient
文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法,系統地研究了它們在圖像壓縮編碼中的應用,並進行了計算機模擬,實驗結果表明這些演算法是實際有效的。分享友人