混合編碼法 的英文怎麼說
中文拼音 [húngěbiānmǎfǎ]
混合編碼法
英文
mixed code approach- 混 : 混形容詞1. (渾濁) muddy; turbid2. (糊塗; 不明事理) foolish; stupid
- 合 : 合量詞(容量單位) ge, a unit of dry measure for grain (=1 decilitre)
- 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...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 混合 : (攙雜在一起) mix; blend; mingle; admix; mixture; mix up; interfusion; commixture; blending; cre...
- 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。The inversion results of synthetic magnetotelluric sounding data are ideal, which indicates that the algorithm possesses advantages of expediting convergence, avoiding earliness and improving precision, and can be used in mt data analysis
對各種類型的大地電磁測深理論曲線進行計算,結果表明:採用實數編碼混合遺傳演算法進行反演具有收斂速度快、解的精度高和避免出現早熟等優點,可用於大地電磁資料解釋。Turbo codes represent the new code structures, which consist of pccc ( parallel serially convolutional code ) and sccc ( serially concatenated convolutional code ). in this paper, the background of turbo codes are firstly introduced, which includes the base principle of error correction code 、 block code and convolutional code ; the principle of turbo code and the iterative decoding is secondly expanded ; the key decoding algorithm : a revised map algorithm and iterative decoding theory are detailed ; then, a new turbo code structure : hccc ( hybrid concatenated convolutional code ) is presented, and the capacity of this code method is analyzed, the average capacity upper bound is derived ; at last, this code is simulated on awgn ( additive white gaussian noise ) channel and rayleigh fading channel
本文首先介紹了turbo碼的背景知識,包括差錯控制的基本原理、分組碼和卷積碼;然後闡述了turbo碼的基本原理,包括turbo編譯碼器結構及迭代譯碼原理;較為詳細地描述了關鍵的譯碼演算法: ?種改進的最大后驗概率( map )譯碼演算法及迭代譯碼演算法;提出了一種新的turbo碼結構:混合turbo碼(混合級聯卷積碼) ;並用編碼性能聯合界分析方法對混合turbo碼進行了性能分析,得出了其平均性能上界;並在高斯白噪聲通道和瑞利衰落通道上分別作了一些應用研究及計算機模擬實驗。In communicaton the bandwidth is an important problem that we should consider, specially in wireless communication. in fact the fiber is mainly used in backbone networks, so it is essential to develop the low rating coding technology of voice. the arithmetic of melp is based on the model of lpc and use the form of mixed excitation. because it integrates the idea of multi - band, so it has the merit of lpc and mbe. it is a perfect coding scheme in low rating voice coding relatively
而melp語音壓縮編碼演算法是在線性預測編碼參數模型的基礎上,採用混合激勵的形式,並且結合了多帶的思想,因此它擁有線性預測編碼和多帶激勵的優點,是目前低速率語音編碼中一種比較理想的編碼方案,也是本文研究的重點。本論文通過研究melp的語音編解碼演算法的原理,對它的編解碼過程作了比較深入的研究,對其中的一些公式進行了理論推導,並作了模擬分析,最後研究了該演算法的c語言實現。In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local
本文首先對聚類分析的遺傳演算法進行了研究,討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法,分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究,提出了一種基於遺傳演算法的k - means聚類改進(混合聚類演算法) ,在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ,用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心,最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法,其顯著特點是隱含并行性和對全局信息的有效利用的能力,所以新的改進演算法具有較強的穩健性,可避免陷入局部最優,大大提高聚類效果。Genetic algorithms with hybrid float - code amp; gray - code
浮點數與格雷二進制混合編碼的遺傳演算法A texture compression algorithm based on hybrid coding is put forward
摘要提出了一種基於混合編碼的紋理壓縮演算法。Experiments proved that this method is better than jpeg, ppc and sqs
實驗結果表明該演算法的性能優于ppc 、 sqs等混合編碼方法。Abstract : a classification based hybrid coding, which takes the use of the similarity of wavelet coefficients in the wavelet domains, is proposed
文摘:利用小波變換域內小波系數的相似性,提出了基於分類的混合編碼方法。A novel algorithm for decomposing any signal into a linear expansion of elementary functions with a redundant dictionary is proposed
摘要在分析總結浮點數編碼和格雷碼編碼各自特點的基礎上,提出了一種用浮點數和格雷碼混合編碼的遺傳演算法來實現匹配追蹤演算法。Comparing the numerical solutions of binary coding and mixed coding, better solutions are obtained with the mixed coding, and the numerical solutions in most examples with integer and floating coding are best
通過算例,對二進制編碼和兩種混合編碼方法進行了比較,說明混合編碼方式得到的結果比二進制編碼好,其中整數和實數編碼方式得到最優解是最好的。Simulation results show that compared to successive pca and sofm algorithm or basic sofm algorithm, pca / sofm hybrid algorithm has many advantages : less memory occupation ; substantial reduction in computation and the better performance of codebook
實驗證明,與普通pca + sofm連續編碼演算法和基本sofm演算法相比,這種混合編碼演算法由於佔用存儲空間少,因而降低了碼書設計的計算量,並改善了碼書的性能。Amari has introduced a mixture of expert nets with probability gate based on statistics. the use of art - type network as the gate net of mixture of expert nets is proposed in this thesis. in addition, comparing with the classical art that has only single layer categorization ability, the concepts of cascaded art nets and embedded art nets are introduced too
Amari的概率門混合專家系統屬于無導師學習中統計方法的專家系統,我們通過將概率門用art門來代替,並用art的級聯與嵌套構造成無導師學習的聚類方法即學習矢量編碼法的專家系統。A two - stage hybrid scheme is proposedbased on the criteria that decreasing mode nuinber reasonably and different attention shouldbe given to different class control variables, i. e., at the begirming stage, a larger granu1arity isused to make ga searching the area contaning optimal sollltion with less generation. thehybrid scheme of binary and integer code distinguished by voltage level is of clear levelconception thus can search the high voltage control variables more carefully. crossover andmutation of ga are also refined on the basis of above scheme
並從合理減少模式數以及對不同變量給予不同程度關注的原則出發,提出了兩階段分層混合編碼方案:在遺傳演算法的開始階段,用較粗的粒度編碼,使遺傳演算法能夠用較少的迭代次數快速搜索到最優解所在的區域;按電壓等級分層的二進制和十進制混合編碼,具有清晰的層次概念,對那些影響較大的高壓網控制變量能夠有針對性地以更高的精度進行搜索。The discussion is mainly focused on the mostly used video coding scheme : hybrid codec. the concept of " coding mode " being involved, the main problems in coding process are analyzed, structured software design method of hybrid codec is laid out and realization schemes for desk application and handheld application are presented then
本文的討論主要集中於混合編碼框架這一應用最廣泛的限失真視頻編碼方案,通過引入編碼模式的概念,本文對編碼過程中的幾個主要問題進行了分析,並給出了混合編碼框架的結構化軟體設計方法及其針對桌面設備應用和手持設備應用的實現方案。In the solution, the 0 - 1 integer and real number mixed encoding technique was employed to describe an artificial fish ; behaviors of a fish were dispatched by its body energy status ; the following behavior was described by the greedy method where moving step is direct ratio to a fish ' s hungry degree ; the lowest survival body energy controlling technique was used to realize escaping policy from locally optimum positions ; the maximum iterating times and the changing degree of the optimum solutions during iterating were used to control the terminating time
在解算過程中,人工魚個體採用0 - 1整數和實數混合編碼方法描述;用人工魚體能累計和消耗程度來調度其行為;採用與饑餓程度成正比的移動步距的貪婪法描述個體追尾行為;採用最低生存體能控制來實現局部最優解逃逸策略;採用最大迭代次數和迭代過程中最優解平均值變化程度來控制迭代終止時機。The major tasks include : ( 1 ) expand the schema theorem for ga. the schema theorem with binary coding advanced by professor holland is expanded to limited integer, letter, floating point numbers the number of which value is limited, and their hybrid coding. ( 2 ) put forward replacing by the excellent chromosome ga ( recga ), superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain, random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga, modify the arithmetic and then conduct tests
主要有以下幾方面工作: ( 1 )將二進制編碼遺傳演算法的模式定理擴展到由有限整數、字母或取值個數有限的浮點數編碼,或它們混合編碼的遺傳演算法范圍; ( 2 )提出最佳個體替換策略遺傳演算法( recga ) 、優勢群體優先策略遺傳演算法( scfga ) ,對遺傳演算法進行改進; ( 3 )使用隨機過程理論markov鏈對recga進行了收斂性分析; ( 4 )使用泛函分析理論壓縮映射原理對scfga進行了收斂性分析; ( 5 )使用遺傳演算法設計了解決np類問題(排課問題)的測試程序( cap ) ,並根據recga對演算法進行改進並進行測試。The improvements in this thesis include the hybrid code method, the method of generation of initial populations, substituting the children for parents by combination of the simulated annealing algorithm and niche, adding some new chromosomes to ensure the population ’ s diversity and using the adaptive probability of crossover and mutation
本文的改進方案主要涉及混合編碼方式,初始種群的產生方式,採用結合模擬退火演算法和小生境思想的替代策略,迭代過程中添加新染色體,採用自適應交叉、變異概率等。To improve the hybrid codec, the paper has proposed a new method for organizing reference pictures and a new algorithm for mode - decision based on the conception of parallel operation and object - oriented coding, through which the complexity of coding process has been highly decreased
本文還從并行運算和面向對象兩個角度出發,對混合編碼框架進行了改進,提出了一種新的參考圖像組織方法和一種基於對象的編碼模式選擇演算法,在很大程度上降低了編碼器的運算復雜度。Among the standards which are established using mixed coding technology, g. 723. 1 has the highest efficiency, and widely used in many fields. but to gain the high quality and low baud rate, g. 723. 1 pays out the cost, such as the high complex of coding arithmetic, high delay and large storage space. each of them bings up the difficulties of its real time implementation
G . 723 . 1演算法是目前制定的一系列採用混合編碼技術語音編碼標準中效率最高的,以其卓越的性能被廣泛應用在各種領域。但它的高質量和低碼率,是以高復雜度的編碼演算法、較高的延遲,以及較大的存儲空間換得的,這也大大增加了它的實時實現難度。分享友人