無損壓縮演算法 的英文怎麼說

中文拼音 [sǔnsuōyǎnsuàn]
無損壓縮演算法 英文
lossless compression algorithms
  • : 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...
  • : 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...
  • : 壓構詞成分。
  • : 縮構詞成分。
  • : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
  • : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
  • : 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...
  • 無損 : lossless
  1. Ab stract the author is engaged in the studying and manufacturing of an intelligent, capable and portable, multifuctional electrocardio monitoring equipment with aduc8 12 single - chip. microcomputer. the equipment can gather and record the electrocardio signals automatically, also can analyse it at real time, and send it out to the monitoring center through the telephone at real time or send it out by serial interfaces to computer. it use the graph display device to show the electrocardio waves and menu. cooperated with buttons, it provides amicable interface, and makes operation simple and convenient. based on the feature of the electrocardio signals, this paper also proposes a electrocardio distortionless data compression algorithm. the algorithn is simple but effective, it can process the data at real time, and the compression - ratio reaches 2 6

    所研製的監護儀能長時間採集和記錄心電信號,同時可進行心電數據的實時分析,並可通過電話向監護中心實時發送,也可通過串列介面發送至微機。該監護儀採用圖形液晶顯示器顯示心電波形和菜單,配合按鍵提供友好的人機界面,操作簡潔。本文還根據心電波形的特徵,提出一種心電數據的無損壓縮演算法,該簡單有效,能實時實現,比達到2 6倍。
  2. According to the characteristics of pipeline leak signals that the influence degrees of burst interference noises are various in each local area, this paper optimizes the uniform quantization to be adaptable, and proposes an adaptive quantization

    根據管道泄漏信號局部區域受到突發干擾噪聲影響程度的不同,本文進一步優化均勻量化器,將其改進為自適應量化器,提出了基於突發干擾噪聲的自適應量化近無損壓縮演算法
  3. Sldc information technology - streaming lossless data compression algorithm

    信息技術.流動數據
  4. Information technology - adaptive lossless data compression algorithm

    信息技術.自適應數據aldc
  5. Aldc information technology - data compression algorithm - adaptive lossless data compression algorithm for information interchange

    信息技術.數據.信息交換自適應數據
  6. Lossless compression algorithm for medical image based on integer wavelet transform and dpcm

    與整數小波變換結合的醫學圖像無損壓縮演算法
  7. Context modeling is a key point in compression algorithm designing

    Context模型是無損壓縮演算法設計中關鍵部分,它對性能至關重要。
  8. Research on image lossless compression method based on adaptive bit - level arithmetic coding

    基於二值自適應術編碼的圖像無損壓縮演算法研究
  9. Finally, lossless compression by means of integer lifting scheme is realized. after selecting a practical bases of lifting scheme transform, we put forward to two lossy compression algorithms based on adaptive transform and demonstrate its feasibility and validity by simulation and experiment

    實現了將整數提升框架應用於;選擇了一個實際可行的提升變換基庫,給出了兩種基於自適應變換的有圖像,實驗模擬結果證明了的可行性及有效性。
  10. Information technology - procedure for the registration of algorithms for the lossless compression of data

    信息技術.數據無損壓縮演算法的登記規程
  11. At last, according to the significant spectral correlation of structure within the hyperspectral images, we propose a hyperspectral image lossless compression algorithm based on classification and prediction

    最後根據高光譜圖像譜間的結構相關性,提出一種基於分類預測的高光譜圖像無損壓縮演算法
  12. According to information theory, we conclude that lossless compression of radar data could n ' t obtain high compression ratio. this point has been verified by the results of the experiments

    本文運用信息論的有關理論,得出了雷達回波的無損壓縮演算法不可能獲得高的比的結論並且實驗的結果也驗證了結論是正確的。
  13. 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,包括結合空間分佈信息的大津閾值方、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
  14. 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 % 。
  15. Those compressions algorithms are suited to implementation by hardware and have good realtime quality because they do n ' t have multiplication and division operation. those algorithms can achieve c ompression ration over 10 to 1 at the same time of keeping all the important detecting correlative data by using lossless method to compress important data and using lossy method to compress insignificant data

    中不使用乘除,非常適合於硬體實現並具有很好的實時性;通過對重要數據和非重要數據分別進行和有在保留所有檢測相關數據的基礎上可以達到10 : 1以上的比。
  16. This algorithm adopts peak error or maximum amplitude error criterion to control the level of distortion in pipeline leak signals, and doesn ’ t change the subsequent location error of adaptive time - delay estimation in the case of a small quantization error, so as to implement the near - lossless compression of pipeline leak signals

    該近無損壓縮演算法設計了基於峰值誤差準則的量化方案對管道泄漏信號的失真度進行控制,在量化誤差較小時並不影響后續自適應時延估計的定位誤差,從而實現對管道泄漏信號的近似
  17. In order to improve the compression ratio of pipeline leak signals, an error - controlled quantization method is designed in this paper, and on the basis of lossless compression algorithm, a near - lossless compression algorithm is proposed and implemented in pipeline leak detection and location system

    為了進一步提高管道泄漏信號的比,設計了誤差可控的量化方案,在管道泄漏信號無損壓縮演算法的基礎上,提出了一種適合於管道泄漏檢測定位系統的近無損壓縮演算法
  18. What ’ s more, we design a 3d prediction compression scheme. the scheme is based on our optimal linear predictor and we use jpeg - ls lossless compression algorithm to compress the residual images. the scheme costs less time in computing, but works much better than jpeg - ls algorithm and software winrar

    此外,用基於jpeg - ls的無損壓縮演算法對運用我們設計出的最佳線性預測器預測得到的殘差圖像進行,運速度很快,比也大大優于jpeg - ls和winrar軟體,具有很強的實用性。
  19. Various data compression techniques are studied and summarized in this paper, including the traditional and the newly developed techniques, then analyses the features of pipeline leak signals, such as the mechanism of production, entropy and correlation coefficient, are analyzed, and finally a universal and low - complex lossless compression algorithm is proposed and implemented in the pipeline leak detection and location system

    本文研究和總結了國內外傳統和最新發展的各種數據技術,然後分析了管道泄漏信號的特徵,包括管道泄漏信號的產生機理、信息熵和相關系數,提出了一種適合於管道泄漏檢測定位系統的通用、低復雜度的無損壓縮演算法
  20. Therefore, the main subject of this paper is to design a universal, low complexity, lossless and near - lossless compression algorithm for biomedical signals, fith a series of techniques, including context modeling, adaptive prediction and golomb coding, our algorithm obtains satisfactory results on various kinds of biomedical signals with low complexity of implementation

    從上述考慮出發,本課題研究設計了一個通用、低復雜性的生物醫學信號無損壓縮演算法。通過採用上下文建模、自適應預測和golomb編碼等一系列技術,該對各類生物醫學信號都獲得了較好的效果,達到了通用、低復雜性的設計要求。
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