pipeline transform 中文意思是什麼
pipeline transform
解釋
流水線變換-
The paper makes use of multi - scale wavelet transform to detect the arriving time of the pressure wave to the both ends of the pipeline. the method could detect the break point of the signal, and could decrease the error bringing by the existing of impulse yawp
使用多尺度小波變換捕捉管道兩端負壓力波的到達時刻，有效地檢測出了信號的突變，並能夠較好地克服由於噪聲存在而給定位帶來的誤差。 -
So, the integer wavelet transform is very important in such scenarios as lossless image compression, satellite image transmission, and so on. based on the integer wavelet transform, this article has studied 5 / 3 wavelet transform, and proposed a dedicated architecture to realize it. this architecture includes four parallel modules for computing, which use pipeline technology
本文以整數小波變換為研究對象，重點在二維整數5 / 3小波變換的基礎上設計了一種并行結構，該結構將二維變換分為四個運算模塊，這四個模塊并行運算，各模塊內部採用流水線技術。 -
In addition, several way are adopted to optimize the one dimensional transform architecture. improving the architecture resulting from the standard lifting scheme reduces the critical path delay ; an embedded boundary extension algorithm is adopted instead of the standard symmetric extension and it ’ s easier to implement ; the pipeline technique is adopted to increase the speed of processing ; coefficients of the multipliers are transformed into csd forms and the multiplications are substitute by minimum shift - add operations
改進了由標準的提升演算法得到的變換結構，減小了關鍵路徑上的延時;採用內嵌的邊界延拓來代替標準的對稱延拓，實現更加簡單;採用流水線技術顯著提高了處理的速度;把乘法器系數表示為csd形式，將常系數乘法優化為最少的移位加操作。 -
In term of this theory, we decompose some simulate signal and pipeline mfl signal by wavelet package transform. then select the best wavelet package base out of the decomposed coefficient and figure the brickwork of the best base on the relevant position in time - frequency plane showing the strong or weak of every coefficient. as a result, the time - frequency structure of signal analyzed is relatively visually represented ; that is to say, an anticipative result achieves
按照這一理論，我們對一些模擬信號和管道漏磁信號作了小波包分解，然後從中選出最優小波包基，再把被選中的小波包基的相應砌塊表示在時?頻相平面上的相應位置上，並用灰度級別表示這個分量權重的強弱，結果較形象地把被分析信號的時?頻結構表現出來，達到了預期的目的。
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