mallat 中文意思是什麼

mallat 解釋
馬拉特
  1. The famous mallat decomposition algorithm is applied. the correlations between the neighboring wavelet transform coefficients are utilized to restrain noises and the local maxima of the coefficients provide information of image boundaries

    並利用相鄰尺度間小波系數的相關性和一種非線性函數進行噪聲抑制，同時利用小波系數的模極大值來提取邊緣點。
  2. First we introduce theory and merits of graphic wavelet transform, then mallat algorithm, multi - scale characteristic, quadratic b - alpine wavelet and the coefficients of this filters, and etc. later we calculate the gradient matrix based on the result of wavelet transform, thin the contour and get spatical information

    先介紹圖像小波分解方法的原理、 mallat快速演算法、多尺度特性、 3階b -樣條小波基函數的選取及其濾波器系數的推導等，然後根據小波變換結果計算梯度矢量矩陣，進行非極大值抑制和雙閾值化，提取目標輪廓。
  3. By applying dwt and mallat in wavelet analysis, the oscillation signal of active power on transmission line is decomposed and reconstructed ; the strategy of upfc ' s secondary control based on wavelet is proposed by using the reconstructed active power as input signal. simulation results verify the efficiency of damping subsequent swing quickly under serious power oscillation circumstance that is hard to damp by ordinary upfc controller. the system dynamic stability is apparently enhanced

    針對系統功率波動頻率較高情況下upfc對系統后續擺穩定的控製作用難以得到充分發揮的情況，採用小波分析的mallat塔式演算法對系統功率波動信號進行分解，並基於mallat塔式重構演算法的思想濾除了信號的冗餘擾動成份，尋找到一個高壓縮比、低相對誤差的重構功率信號，從而使其能夠符合upfc實際控制需要。
  4. The feasibility of using mallat algorithm to extract the feature component of rotor bar faults is discussed, and we find that mallat algorithm is not suitable for rotor bar faults detection because of the similar representations of the fault and the normal signals

    分析了應用mallat小波變換快速演算法提取轉子斷條故障特徵的可行性，指出由於故障信號與正常信號在時頻域上的表現非常接近，僅使用基於頻帶劃分的多解析度分析方法的mallat演算法難以提取出明顯的轉子斷條特徵量。
  5. The conventional methods of edge detection have good effect on clear image, but are sensitive to noise. though mallat used multiresolution wavelet to detect edge of noisy images, it was not effective for much noisy image

    傳統的檢測方法對清晰圖像的邊緣檢測效果很好，但對噪聲相對敏感，盡管mallat用多尺度小波變換來壓制噪聲，可是對于有大量噪聲的圖像，邊緣檢測效果並不好。
  6. The results show their efficiency and validity. chapter 2 first reviews the basic theory concerned with image wavelet transformation, which includes the wavelet multi - resolution analysis theory, the discrete wavelet transformation and the two dimension discrete wavelet transformation ( mallat algorithm ), and analyzes the space and frequency distributing characteristics of image wavelet coefficients

    第二章首先詳細介紹了圖像小波分析的基本理論，其中包括從小波多解析度分析理論開始到離散小波變換再到圖像的二維離散小波變換即malat演算法，並著重分析了圖像小波變換系數的空間和頻率分佈特點。
  7. The writer analyzed mallat three criteria and introduced the optimized function based on these three criteria, at last found optimized mother wavelet for edge detection. at the end of this chapter single edge searching method based on local maximum is introduced and gained ideal edge image

    分析mallat提出的評價邊緣檢測函數優劣的三個判別函數，利用這三個判別函數列出最優化方程，推導出邊緣檢測最優小波，最後創造性提出局部最大值單像素邊緣搜索法，提取出單像素寬度邊緣圖像，圖像效果達到了滿意的效果。
  8. Mallat algorithm is deduced from the viewpoint of multi - resolution analysis. filter banks is used to construct orthogonal and biorthogonal wavelet basis. wavelet basis is selected according to the requirements of image compression

    針對圖像壓縮這個具體應用給出小波基的選擇依據，以及在盡可能好的重構原始圖像的要求下，小波變換應當採用的處理方式。
  9. The recursive criterion of transient current protection based on mallat wavelet transform is presented in order to meet the real - time demands. the reserch shows deficiency existed in the prevenient principle of transient current protection, so a new improved scheme of transient current protection is proposed. the characteristics of transient protection at different bus distribution capacitance is also analysed in this thesis. the study shows that operate of transient protection is correct when the bus distribution capacitance change. other conclusion include : the trip of transient protection must be locked when the power circuit breaker of transimission line operated, because the trip is incorrect at this time ; the features of transient current and it ' s energy is different between the fault and thunder over - voltage in transimission line, and them can be identified ; the ratio of high frequency component of current in serise capaciters compensation line, svc and hvdc system is far little than fault transient current, so all of them do not affect the working of trasient current protection

    應用功率譜估計方法討論了故障高頻暫態噪聲信號在頻率軸上的分佈情況，利用功率譜分析結果實現的非參數化系統辨識方法研究了母線分佈電容對電流高頻暫態信號的衰減特性。論文的後半部分（第五，六，七章）著重分析了現有基於故障電流的暫態保護原理和判據存在的問題，提出了新的實現方案，並討論了暫態電流保護的運行性能。利用多分辨分析和小波分解快速演算法構成的遞推暫態保護判據，可以準確區分故障線路和非故障線路，實現超高速暫態電流保護，計算更為簡單方便，計算速度更快。
  10. This method has the advantage that redundant information at multi - scale and in multi - direction can be fully used by means of shift - invariant wavelet decomposition and ringing from the final merged image reconstructed by mallat algorithm can be overcome. color space transforms are studied based on gray texture analysis. a new representation for color texture is proposed by effectively merging both the texture and color information in feature - level based on incomplete tree - structured wavelet decomposition ( ictswd ), which can

    它更全面、準確地刻畫出彩色紋理的顏色特徵、紋理特徵及顏色與紋理的空間相關特徵；同時在特徵級融合基礎上，針對3種不同的小波分解，研究了彩色紋理圖像的分類性能及抗噪能力比較，得出不完全樹型小波分解基礎上的特徵級融合及分類是我們的首選方案。
  11. This article has discussed the theory of wavelet compression and mallat fast arithmetic. the bi - orthogonal wavelet ( 7, 9 ) has been used to compress image, the compressing processing has been simulated, and as a result, the conclusion has been given

    本文詳細地論述了利用小波進行圖象壓縮的原理，以及hallat快速演算法。利用雙正交小波（ 7 ， 9 ）對圖像進行壓縮模擬，並得出結論。
  12. The wavelet transform is a new style mathematic analysis tool. it is a new theory system developed from the studies of y. meyer, s. mallat and i. daubechies in 1980s

    小波分析是一類新型的數學分析工具，是二十世紀八十年代以來在y . meyer ， s . mallat和i . daubechies等人的研究的基礎上發展起來的新的理論體系。
  13. The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed. the signal local singularity under the wavelet transform are studied. the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed, too. the denoise effect of different threshold and threshold function are studied. base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold, a modified algorithm is developed : combining threshold distinguishing and shield filter method

    討論了基於mallat理論最大模數方法以及基於donoho理論的閾值萎縮去噪方法的差別，研究比較了不同閾值規則與閾值函數對去噪效果的影響；在此基礎上，結合統一閾值和置信區間閾值各自的優缺點，提出閾值判別和屏蔽濾波相結合的方法。
  14. Detecting the fell displacement by ssda algorithem based mallat decomposition method

    演算法在檢測織口位置變化中的應用
  15. The implementation of mallat algorithm with dsp system for wavelet analysis was discussed in detail

    論文中重點討論的是小波分析mallat演算法。
  16. The hardware consists of dsp devices. the software is realized by mallat algorithm of wavelet transform

    硬體實現採用dsp技術，軟體應用mallat演算法，速度快，抗噪聲性能好。
  17. In addition, we analyse the practical problem of mallat arithmetic and give the corresponding solution

    並且，進一步分析了mallat演算法應用於實際時存在的問題，給出了相應的改進方法。
  18. The pre - wavelet on [ 0, 1 ] was constructed with the splines wavelet and fold function. and the corresponding mallat ' s algorithm was presented

    用樣條小波和折疊函數構造了[ 0 ， 1 ]上的半正交小波基，給出了相應的分解和重構演算法。
  19. This paper first analyses some basic theory of traditional wavelet such as multiresolution, the mallat algorithm and biorthogonal filter sets

    論文首先分析了傳統小波變換的一些基本知識，如多分辨分析， mallat演算法以及雙正交濾波器組等。
  20. Second, we discuss the important theory in wavelet transformation multi - resolution analysis theory, and the corresponding algorithm - mallat algorithm

    其次，介紹了小波變換中的重要理論?多解析度分析理論，及其相應的分解和重構演算法? mallat演算法。
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