fractal noise 中文意思是什麼
fractal noise
解釋
分形噪波-
Through the inspecting, the author selected three methods of eradiate noise ' s feature extraction. the methods include the pedigree, e - filter, fractal. in those methods, the pedigree is based on frequency field, the e - filter is based on the energy field and the fractal is based on time field
本文作者經過考察，採用了三種前期研究中較為有效的水下目標特徵提取方法? ?基於功率譜估計的線譜特徵提取方法、基於小波分析的不同頻段內能量特徵提取方法和基於水聲信號分維特性的特徵提取方法。 -
In this thesis, flow regime identification and malfunction diagnosis of fluidization were studied with fractal technology, the presented methods for both flow regime identification and malfunction diagnosis were proved of effectivity. main achievements are as following : 1. fractal brownian motion ( fbm ) was made from gauss noise and compared with pressure fluctuation signal of gas - solid fluidization, which demonstrated the similarity between the fbm and the signal
在通過fbm （分數布朗運動）數據模擬證明了氣固流化床壓力波動信號與分數布朗運動是相似的基礎上，提出了用分數布朗運動來模擬氣固流化床壓力波動信號，並採用r s分析法從信號時間序列中提取出hurst指數，通過分析信號hurst指數值對流化床流型和結塊故障進行了研究。 -
Based on the theories described above, calculation formula of general dimension of least square measure and multi - fractal fault diagnosis and analysis system have been established with borland c + + builder 5. 0, and checked by pure sinusoidal and cosine signal and sinusoidal signal with noise, and verified by the examples
基於上述原理，建立了最小二乘法的廣義維數計算公式，用borlandc + + builder5 . 0編制了以廣義維數計算分析為基礎的多重分形故障診斷系統，並對標準的正弦信號、餘弦信號及帶有噪聲的正弦信號進行了驗證。 -
It can be learned by analyzing the ship radiated noise signals using nonlinear methods that the ship radiated noise signals are n ' t rigid fractal signals, but there are positive maximum lyapunov exponents, this indicates that the ship radiated noise signals are nonlinear
通過對艦船輻射噪聲進行混沌特徵分析，結果表明，艦船噪聲不具有嚴格分形性，但具有正的最大lyapunov指數存在，這說明艦船噪聲信號中有非線性成分存在。 -
This part mainly discusses the statistical distribution of the price and the returns rate, including random process and the returns rate model, gaussian process, measuring returns rate with discrete random process, white noise process, auto regression process, moving average process, auto regression moving average process, random walk, continuous random process, leptokurtic distribution, conditional mixed distribution, garch model and fractal distribution
在這一部分中，我們主要討論價格和收益率的統計分佈：隨機過程和收益率模型、高斯過程、收益率計量中的離散隨機過程、白噪聲過程、自回歸過程、移動平均過程、自回歸移動平均過程、隨機行走、連續隨機過程、尖峰分佈、條件混合分佈、 garch模型以及分形分佈。 -
On the basis of the authors ’ results published in this journal [ 67 ], this paper further proposed two strategies which improved both quality and speed of fractal encoding : one, a priori adding additive white gaussian noise into the image being encoded to reduce the domain blocks that are unlikely to meet the constraint on contrast scaling factors ; the other, range blocks with small standard deviations are directly approximated by the constant block ( i. e., all the
在筆者原有結果[計算機模擬， no . 8 ， 2004 ]的基礎上，本文提出進一步提高解碼圖像質量和編碼速度的方案:一是預先在待編碼圖像中添加高斯白噪聲以進一步減少不滿足對比度因子約束的domain塊的數目;二是對小方差range塊直接用其均值塊代替以進一步加快編碼速度。 -
We reconstructed the phase space and calculated the nonlinear parameters such as correlation dimension, the largest lyapunov exponent, approximate entropy, and l - z complexity of the data. it can be conclud from the results that the reconstruction of heart beat rate signal is strange, its correlation dimension is between 5 to 7 and have the character of fractal dimension, its largest lyapunov exponent is larger than zero, its approximate entropy and l - z complexity are obviously differ from noise. we can draw a conclusion from all above : the heart beat rate signal is n ' t simple noise, it is high dimensional chaos obeys certain dynamical law
我們還對信號進行了相空間重構，計算了信號的關聯維數、最大lyapunov指數、近似熵和復雜度這幾個非線性特徵量，我們發現，心率信號的吸引子是奇怪吸引子，關聯維數介於5到7之間，具有分維的特徵，其最大lyapunov指數大於0 ，其近似熵值和復雜度值明顯區別于噪聲，這說明心率信號不是隨機噪聲，它是服從確定性動力學規律的高維混沌信號。 -
The " expanding in frequency domain " theory is put forward and validated, and the chaos theory and the fractal theory is applied to the detection and diagnosis of boiler tube leak, the separation between the useful signal and noise and some of problems existed in the present boiler tube leak detection are solved
提出了「頻域拓展」的概念，並對這一方法的正確性進行了驗證。將混沌與分形理論引入鍋爐爐管泄漏檢測與診斷中，完成了爐管泄漏聲信號的信、噪分離，解決了目前爐管泄漏檢測系統所存在的一些問題。 -
Based on adaptive quad - tree fractal image encoding scheme, the concept and algorithm of peak signal noise ratio ( psnr ) based on the fractal codes is put forward, and is used to match the similarities between images
本文以自適應四叉樹分割的分形圖像編碼為基礎，提出了圖像的分形碼峰值信噪比的概念和演算法，在無須解碼的情況下，直接對分形碼來量化圖像間的相似性。 -
The taboo - search algorithm and the ordinary genetic algorithm are combined in this paper and the new algorithm is named taboo - genetic algorithm. the new algorithm is applied into the matching search of domain and range in fractal image coding. the result shows that the coding time is decreased greatly when the compression ration and the peak signal and noise ration do not decline
后來把禁忌搜索演算法與簡單遺傳演算法相結合，提出了一種新的禁忌搜索遺傳演算法，並應用於分形圖像壓縮編碼的定義域、值域匹配搜索，從而在不降低峰值信噪比和壓縮比的情況下極大地改善了分形圖像壓縮編碼的速度。 -
The main works are described as follows : ( 1 ) we have summarized the latest research achievements and development of fractal theory and the applications in image processing domain and discussed and studied the definition, principle and algorithm of fractal and fractal dimension ; ( 2 ) aiming at the disadvantages of dfbr based edge detection method, an algorithm based on fractal intercept feature was put forward ; moreover, aiming at the bad anti - noise performance of traditional methods, a edge evaluation method was introduced to evaluate the performance of the algorithm and that of sobel - based algorithm quantificationally ; ( 3 ) furthermore, we proposed a novel method based on slope feature and intercept feature, then compared the performance with that of intercept - based method
通過對近年來國內外學術界對分形理論及其在圖像處理領域相關應用問題的研究成果和最新進展的搜集、整理和總結，對分形及分形維數的定義、原理、演算法以及在圖像處理上的應用進行了較為系統的研究和探討； 2針對基於dfbr場邊緣檢測典型演算法的缺點，採用了一種基於分形截距特徵的圖像邊緣檢測演算法，取得了較為滿意的結果；並針對傳統方法抗噪性能差的缺點，引入一種基於參照圖的邊緣評價方法，並對此演算法性能與傳統sobel演算法進行定量分析對比，實驗證明該演算法是有效的； 3 -
In comparison with the abilities of two fractal image compressions, the fractal image compression method based on region partition can gain higher compression ratio as the same of sign to noise rate, which compression ability is improved obviously
通過對兩種分形壓縮方法性能的比較，基於區域劃分的分形圖象壓縮方法可以在相同的性噪比下達到更高的壓縮比，壓縮性能顯著提高。 -
5 ) estimated error power of noise and atmospheric term using fractal signal parameters estimation method based on wavelet ", and then weighted combined multi - temporal insar data to eliminate atmospheric effects to dem extraction
5 ）利用基於小波變換的分形信號參數提取，得到噪聲項和大氣項對dem影響的誤差功率，在此基礎上將多時相干涉sar數據進行權重融合，以降低大氣和噪聲對所提取的dem精度的影響。 -
Used the theory of air - dynamic and the jet - ejector principle the characteristic of jet - steam, proving the noise signal have the character of chaos by using the fractal theory. noise sound pressure on the normal condition was checked by theory formula and contrasted with the experimental data. the difference was analyzed in detail
結合空氣動力學噴射氣流噪聲理論公式，驗算了三效降膜蒸發器正常生產時熱壓泵中拉伐爾管噴口處的噪聲聲壓級，與實測值進行對比，並詳細分析了兩者產生較大差異的原因。 -
Finally, we discuss application of kalman filtering. the optimality of multi - sensor kalman filtering fusion with feedback is presented and a filter bank based on wavelets and equipped with a miltiscale kalman filter is proposed for estimating fractal signal in additive gaussian white noise
最後，我們討論了卡爾曼濾波在實際中的應用，分析了多傳感器反饋卡爾曼濾波融合的最優性，並且基於小波變換利用卡爾曼濾波對淹沒在高斯白噪聲中的分形信號進行了波形估計。 -
5 ) the atmospheric noise of interferogram is a fractal process, whose spatial spectrum exhibits the characteristic - 8 / 3 powder law behavior associated with turbulence phenomena. the effects of this 1 / / process to insar dem were anylysised and the error power of noise and atmospheric term were estimated for weighted combination of multi - temporal insar data. the test results showed this data fusion process can improve the accuracy of insar dem
引i 』涉圖的大氣噪聲為一分形過程，其空間譜表現為與渦流現象有關的8 3冪函數特性， l人氣過程和噪聲對利用干涉數據提取的dem精度有很大影響，利用不同時相的dem ，在小波域中估計大氣和噪聲的誤差功率，並在此基礎上對dem進行了權重融合，實驗結果證明，此數據融合方法可以很好的提高幹涉sar所提取的dem的精度。
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