無損編碼 的英文怎麼說
中文拼音 [wúsǔnbiānmǎ]
無損編碼
英文
fo ossess coding- 無 : 無Ⅰ動詞(沒有) not have; there is not; be without Ⅱ名詞1 (沒有) nothing; nil 2 (姓氏) a surn...
- 損 : Ⅰ動詞1 (減少) decrease; lose 2 (損害) harm; damage 3 [方言] (用尖刻的話挖苦人) speak sarcas...
- 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...
- 無損 : lossless
- 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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The fifth chapter use huffman coding method of the row difference data and lifting wavelet transform and spiht ( set partitioning in hierarchical tree ) coding method to realize the diagnostically compression of mfl data by judging the significance of data using changing threshold and dynamic area threshold of mfl data
在第五章通過數據變化閾值和數據動態范圍閾值判斷數據重要性,分別採用行差分數據的霍夫曼編碼方法以及提升小波變換和層次樹集分割( spiht )編碼方法實現了數據的檢測無損壓縮。At last, an ecg distortionless data compression algorithm is proposed in this paper. this algorithm is brief, effective and easy to be processed at real time by single - chip microcomputer
最後,提出了一種心電數據的無損壓縮編碼方法,該演算法簡單有效,利於單片機實時實現。Based on statistic property of all sub - bands coefficients, this paper gives a lossless image coding scheme including dpgm, huffman coding and run length coding. this scheme reduces the calculating complexity and works highly efficiently
針對圖像整數小波分解后的各子帶系數的統計特性,提出結合dpcm , huffman及遊程編碼的無損圖像編碼方法,該方法運算簡潔,速度快,易於硬體實現。The hdcd " code " is transmitted in " inaudible " portions of the standard 16bit redbook stream. eac + flac should capture everything
簡單翻譯就是, hdcd編碼藏在標準16位數據流(紅皮書定義)中的無法聽到的部分。 eac抓軌加flac無損壓縮,可以獲取一切數據。Traditional coding algorithms are based on simple n - gram models. those distant constraints and some redundancies in natural language, such as word order redundancies, semantic redundancies and syntactic redundancies, are neglected in the n - gram models. in order to find and reduce those redundancies, we need more intelligent algorithms based on more effective models
通用無損數據編碼是數據壓縮領域的一個重要的分支,現有的無損數據編碼方法大多是基於n - gram模型的, n - gram模型忽略了自然語言中的遠距離約束和諸如詞序冗餘、語義冗餘、句法冗餘等冗餘,為了找出並減少這些冗餘,需要更有效的語言模型和更智能的演算法。The dissertation combine the theory, with using integers dct transform to realize grey image lossless compress with the method of reversible color space integers transform and reversible integers dpcm prediction to realize lossless compress from grey image to color image with huffman coding method via visual c + + program
本文借鑒整數dct變換實現灰度圖像無損壓縮的理論研究成果,將其與可逆的顏色空間整數變換和可逆的整數dpcm預測相結合,採用哈夫曼編碼方法,用vc編程實現了從灰度圖像到彩色圖像的無損壓縮。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。An inquirt into image compression and coding technique and the method non - loss compression
圖像壓縮編碼技術及無損壓縮方法的探討Research on image lossless compression method based on adaptive bit - level arithmetic coding
基於二值自適應算術編碼的圖像無損壓縮演算法研究Neural networks are used more frequently in lossy data coding than in general lossless data coding, because standard neural networks must be trained off - line and they are too slow to be practical. in this thesis, statistical language model based on maximum entropy and neural networks are discussed particularly. then, an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis
傳統的人工神經網路數據編碼演算法需要離線訓練且編碼速度慢,因此通常多用於專用有損編碼領域如聲音、圖像編碼等,在無損數據編碼領域應用較少,針對這種現狀,本文詳細地研究了最大熵統計語言模型和神經網路演算法各自的特點,在此基礎上提出了一種基於神經網路和最大熵原理的算術編碼方法,這是一種自適應的可在線學習的演算法,並具有精簡的網路結構。An adaptive predictive coding based on image segmentation for lossless compression of ultrasonic well logging images
基於分塊自適應預測的超聲測井圖象無損壓縮編碼The subimage of the lowest frequency ( ll4 ) is carried out lossless compressed coding ; 2 the subimages on diagonal direction of the highest frequency ( hhl ) is abandoned and is not carried out coding, because it is of great probability for zero, and it little affects visual
其主要包括對最低頻子帶單獨進行無損壓縮編碼,對最高頻對角線方向子帶捨去不編碼。對其餘各子帶根據視覺特點的不同,分別分配不同的比特數並按其進行零樹量化,最後再遊程編碼。3. tracking algorithm for curves, including the method for gray threshold combining space information, lag structure which was used to compress well - logging data during compressing and a progressive - completing method for curves tracing
3 .曲線跟蹤演算法,包括結合空間分佈信息的大津閾值方法、基於行程編碼的圖像無損壓縮演算法和逐步完成的曲線跟蹤方法。The experimental results show that the compressed average bit is 8. 3674, 1. 2442 bits less than the original entropy, and the efficiency of rice coding achieves 98. 81 %. and the algorithm also has the advantage of real - time encoding in the system
經過無損壓縮演算法處理,管道泄漏信號壓縮后的平均位數達到8 . 3674bits ,比原始信息熵降低了1 . 2442bits ; rice編碼的編碼效率達到了98 . 81 % 。Conventional iec three ratio method and new iec ratio criterion are reduced according to the method of decision table in rough set theory respectively, simplified diagnosis rules are proposed. besides being identical with original iec method, the codes of conventional iec three ratio method are increased and bounds of new iec ratio criterion are augment by using this method, codes imperfectness of conventional iec three ratio method and code name absence of new iec ratio criterion are improved to some extent, scarcity of codes in conventional iec three ratio method is offseted, absolutization of sort and boundary in new iec ratio criterion is overcomed. this is important in practice for its flexibility and enhanced error tolerances
應用粗糙集理論中的決策表化簡的方法分別對常規iec三比值診斷表和iec新導則診斷表進行了化簡,得到了簡化的診斷規則,它們不但具有與常規iec三比值法和iec新導則完全相同的診斷分類能力,而且擴充了常規iec三比值表的編碼范圍和iec新導則的診斷范圍,在一定程度上改善了常規iec三比值表編碼缺損和iec新導則無對應代號的問題,彌補了常規iec三比值法編碼的不足,克服了iec新導則分類及邊界的絕對化,使得iec診斷法在實際診斷中更具靈活性、實用性和容錯性,提高了故障診斷能力。Fiber gratings have several distinguished advantages, such as compare with fiber, low loss and high responsibility. as sensing element, they encode the sensing information in a wavelength form, which are their distinguished advantages over other transducers. that not only make the sensing information does not depend on loss of the system or fluctuation of then source power but also decrease the cost of sensing system and realize multipoint and distributed sensing
光纖光柵與光纖之間存在天然的兼容性,它不僅具有易與光纖連接、低損耗、光譜特性好、可靠性高等特點,而且作為傳感元件,它具有其它傳感器無可比擬的優點,即感應的信息用波長編碼,而波長這個絕對參量不受光源功率的波動、連接或耦合損耗的影響。I consider templates and generic programming central to modern c + +. they are the keys to uncompromisingly efficient, type - safe code. however, they don ' t fit the classical object - oriented paradigm
我認為模板和泛型編程是現代c + +的核心,是無損效率、類型安全代碼的關鍵。然而它們並不適合經典的面向對象編程思維模型。So lifting scheme will become a new method in lossless image compression. secondly, image data should be transmitted from loss to lossless, named progressive transmission, because different people require different image quality
其次,由於不同用戶對同一圖像的質量要求不同,因此有必要在編解碼時,使圖像的恢復能夠根據用戶要求,做到從有損到無損的過渡,即圖像的漸近編碼。Information technology - lossy lossless coding of bi - level images
信息技術.雙級圖像的有損無損編碼Hlz : an adaptive lossless coding algorithm with hybrid dictionary
一種採用混合字典的自適應無損編碼演算法分享友人