denoise 中文意思是什麼

denoise 解釋
降噪
  1. Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm

    論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點，提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理，隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。
  2. In this paper, we firstly design orientation filters based on directional image of fingerprint and employ them to denoise gray - scale image. then, we binarize the gray - scale image with local self - adaptive binarization smoothness algorithm and eliminate the noises from the binary image with fast fourier transform algorithm

    本文先基於指紋的方向圖設計出方向濾波器對原圖像進行濾波去噪，然後使用局部平滑閾值自適應二值化演算法，將灰度圖像進行二值化，並採用快速傅氏變換對所得到的二值化圖像進行去噪處理。
  3. We discussed the main characteristic parameters of seismic kinesiology and dynamics of mine engineering fracture zone, including relative amplitude, phase time of wave crest, similarity factor, principal frequency band energy, 3 - d space time gradient and coherent coefficient et al., and puts forward the processing method of 3 - d seismic characteristic parameters about denoise - smoothing, generalization, correlation analysis, characteristic transformation ; and presents the method of pattern recognition of mine engineering fracture zone

    摘要本文從時間域、頻率域、三維空間域介紹了礦山工程裂隙破碎帶主要的地震運動學、動力學屬性參數，包括相對振幅、波峰相位時間、相似系數、主頻帶能量、二維空間時間梯度和相干系數等，提出了礦山工程裂隙破碎帶三維地震屬性的去噪平滑、歸一化、相關分析、特徵變換的處理方法以及裂隙破碎帶的模式識別原理與方法，並用實例說明了該方法的應用效果。
  4. Digital wavelet frame denoise the transient scatter response signals

    離散小波框架消除瞬態散射回波噪聲
  5. Preprocessing converts the original dirty data into normalized data. data denoise and compress are the core of the whole process

    在整個數據處理過程中，數據除噪和數據壓縮是預處理的核心。
  6. In this paper, the two - phase flow behaviors of gas - solid circulating fluidized bed have been first studied by analysing experimental data. then, based on fractal theory wavelet package analysis ( wpa ) de - noising method was used to denoise solids concentration and pressure fluctuation signals. the solids concentration signals have also been investigated by wavelet multi - resolution analysis and wavelet package decompose, contributed to disclose the non - uniform flow structures of gas - solids phase

    然後將基於分形理論的小波包消噪方法用於顆粒濃度和壓力波動去噪，並對氣固流化床中的顆粒濃度信號進行了小波多分辨分析和小波包多尺度分解，從新角度揭示了氣固流態化系統的非均勻氣固兩相流動結構。
  7. The principles of filtering, wavelet - denoise and integral algorithms to pick up the tilting pulse ( filtering - delay - compensation signal ) are discussed. especially, a " high - in & low - out " method is presented to determine the thresholds in the three algorithms ; it is very robust and adaptable. in the end, the performance of the three algorithms is compared to each other based on the process of total data of one test - on - line

    分別設計了濾波法、小波去噪法和積分法來提取傾擺脈沖（濾波延時補償信號） ，論述了這三種演算法提取傾擺脈沖的原理，提出了一種魯棒性好、適應性強的「高進低出」法來確定三種提取傾擺脈沖演算法中的門限值：最後用這三種演算法對一次線路試驗的全部數據進行了處理，並比較了各種演算法的特點。
  8. How to remove noise and compress data is highlighted in both technology and theory research. in recent years, wavelet theory has shown potential in data denoise and compress

    如何除去數據中的噪聲和減小數據存儲空間不但是技術上的關鍵問題也是理論研究上的重要課題。
  9. ( 2 ) analyze some denoising algorithms to process gauss noise and pepper and salt noise that are very familiar in digital images. we also research other methods that can denoise and keep the definition for an image at the same time

    （ 2 ）研究了對圖像中常見的高斯白噪聲和椒鹽噪聲行之有效的去噪演算法，並研究了基於svd的濾波方法和lum濾波器，它們在實現圖像去噪的同時能更好地保持圖像細節。
  10. The main contents of this thesis include : ( 1 ) summarize and analysis of the theories on vibration transmission through rolling element bearings ( 2 ) based on the threshold setting and signal ’ s statistical approach, a method for solving the problems of denoise was developed ( 3 ) using sparsity and clustering, the method and hypotheses for underdetermined blind source separation was studied ( 4 ) the method based on potential function clustering was given for underdetermined blind source separation of noisy signals based on the assumption that the input distribution is sparse and the mixture procedure is linear, the attenuation matrix and the delay matrix were estimated by clustering. the approach was experimentally illustrated for the case of m = 2. the separation of the signals from bearing test bed proved that the given methods are available and reliable

    在需求分析和研究現狀分析的基礎上，本論文針對如下內容進行了重點研究: （ 1 ）以滾動軸承為例，對旋轉機械振動信號的傳輸進行了歸納分析; （ 2 ）通過設定某一門限並研究信號間的統計特性，研究了旋轉機械振動信號的盲源分離過程中噪聲消減策略; （ 3 ）應用稀疏信號分析和聚類分析方法，對盲源分離中欠確定問題的假設條件進行探討並對分離方法進行了分析; （ 4 ）採用基於勢函數聚類分析的方法，研究了欠確定前提下含噪聲測量過程中信號盲源分離方法。
  11. Application of wavelet transform in signal denoise

    小波變換的信號去噪應用
  12. A wavelet denoise method based on mutual information criterion

    在企業建立戰略聯盟中的應用
  13. Denoise based on translation invariance wavelet transformand its applications

    基於平移不變的小波去噪方法及應用
  14. Application of the wavelet packet analysis method in vibration signal denoise

    小波包分析在振動測試信號去噪中的應用
  15. Application of wavelet transform - based wiener filtering method to denoise in agricultural product images

    濾波方法在農產品圖像去噪中的應用
  16. Experimental results show that the method can enhance, sharpen, and denoise images

    實驗結果表明：該方法可以有效地實現對比度增強、噪聲抑制和邊緣保護。
  17. Donoho and johnstone proposed a new way to denoise the noisy signal and images : “ wavelet shrinkage ”

    Donoho和johnstone在1992年提出了「小波收縮」方法。
  18. Study on wavelet denoise and characteristic extraction of echo signal to flaw classification in ultrasonic testing

    超聲檢測缺陷分類的降噪及特徵提取問題研究
  19. Single top value regulation between threshold and snr and a trial threshold method in wavelet - based image denoise

    小波圖像消噪中閾值與信噪比的單峰規律及閾值試探方法
  20. 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。
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