gaussian process 中文意思是什麼

gaussian process 解釋
高斯過程
  • gaussian : adj. 高斯的。
  • process : n 1 進行，經過；過程，歷程；作用。 2 處置，方法，步驟；加工處理，工藝程序，工序；製作法。3 【攝影...
  1. The continuity and unigueness of the solution for the simultaneous equations of a class of gaussian diffusion process and analysis of consistency

    隨機擴散過程方程組解的連續惟一及相合性分析
  2. Randomness in this case is modelled as a gaussian white noise process

    模式中之隨機性乃視為一高斯白噪音過程。
  3. The limiting distributions of exceedances on sequences, of upcrossings of high levels related to pro - cesses, and the joint limitiing distribution of sum and maximum for gaussian process had been considered in this paper respectively

    本文分三部分，分別對高斯序列超過數點過程、高斯過程上穿過點過程的極限分佈及高斯過程部分和與最大值的聯合極限分佈進行了探討。
  4. Abstract : it is essential to research radar clutter with non - gaussian spectrum and non - r ayleigh distribution in modern radar design. based on spherically invariant rando m process ( sirp ), this paper applies a new algorithm to model the clutter with k d istribution in amplitude and any power density spectrum. at last it is proved tha t thi s method is correct and applicable with real simulative clutter and statistical detection result

    文摘:研究並模擬具有非瑞利幅度分佈和非高斯功率譜的雷達雜波是現代雷達信號處理中的一個重要的研究課題.文中基於球不變隨機過程（ sirp ）的建模方法，針對實地採集的幅度滿足k分佈並具有有理功率譜的高解析度雷達雜波，運用現代譜估計演算法對其進行建模和模擬，並以模擬雜波與實際雜波的數據對比和統計檢驗的結果對該方法進行了驗證
  5. There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region

    演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。
  6. Based on the study of strength degradation of material in the fatigue process, a strength degradation model is proposed. a stochastic differential equation, which controls strength degradation, is obtained from the model randomized by markov process. by using the theory of stochastic, the distributions of residual strength at any given lifetime and lifetime of any given residual strength are attained. under a few suitable hypotheses, inverse gaussian distribution of fatigue life is derived, and verified by means of experimental data. the result shows that the model and the method are reasonable

    在研究疲勞過程中材料強度退化規律的基礎上，建立了一個強度退化模型.對其進行隨機化處理，得到控制強度退化過程的隨機微分方程.在一定假設條件下，獲得了剩餘強度概率密度函數的封閉解，並推導出疲勞壽命的反高斯分佈形式.給出一種考慮損傷狀態對隨機漲落影響的近似處理方法.與試驗數據的比較結果表明，本文的模型和方法是合理的
  7. 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。
  8. In the analysis process, the six main peaks in 88 - 100 kev region, including the y peaks of 234th, the k peaks of th and the k peaks of u, are chosen. the smoothly joined gaussian function and low energy exponential tail is taken as peak shape function and quadratic polynomial is taken as background function. the two functions are fitted to gether to calculate the peak area

    在分析過程中，選擇了88 - 100kev能區的~ （ 234 ） th的射線峰， th的k _射線峰以及u的k _射線峰共六個主要能峰，通過採用高斯函數和低能指數尾部光滑聯接的峰形函數和二次多項式本底函數一起擬合，來求出峰面積；而該能區所有能峰的探測效率可以認為是近似相等的，由此得到鈾富集度。
  9. The process of realizing the genetic algorithm is presented by the clutter which has the log arithmic normal distribution and gaussian spectrum

    以具有對數正態分佈和高斯譜特性的雷達雜波產生為例，討論遺傳演算法的實現過程。
  10. This method based on differenced frame process and utilizes double constraints of relative gaussian noise and block energy to detect the change region

    該方法通過基於塊的幀差處理，利用相對噪聲服從高斯分佈的特性和能量的屬性的雙重約束來檢測運動變化區域。
  11. Firstly a qualitative criterion for determining the space between adjacent sections in the sampling process and gaussian smoothing algorithm is proposed. then a topological reconstruction method is given. at last a new reconstruction method based on the similarity between adjacent sections is proposed

    首先提出了確定斷層間距的定性方法和數據平滑處理的高斯方法，然後給出了一種拓撲重構方法，最後提出了一種基於相鄰層輪廓相似性的曲面重構新方法。
  12. Abstract : based on the study of strength degradation of material in the fatigue process, a strength degradation model is proposed. a stochastic differential equation, which controls strength degradation, is obtained from the model randomized by markov process. by using the theory of stochastic, the distributions of residual strength at any given lifetime and lifetime of any given residual strength are attained. under a few suitable hypotheses, inverse gaussian distribution of fatigue life is derived, and verified by means of experimental data. the result shows that the model and the method are reasonable

    文摘:在研究疲勞過程中材料強度退化規律的基礎上，建立了一個強度退化模型.對其進行隨機化處理，得到控制強度退化過程的隨機微分方程.在一定假設條件下，獲得了剩餘強度概率密度函數的封閉解，並推導出疲勞壽命的反高斯分佈形式.給出一種考慮損傷狀態對隨機漲落影響的近似處理方法.與試驗數據的比較結果表明，本文的模型和方法是合理的
  13. Topography fractal dimension related with process of development of watershed physiognomy and represented degree of watershed development, v ) sediment yield intensity of watershed model reflected erosion characteristic of watershed model in different development phase. simulating experiment indicated that sediment yield intensity took on the trend that they changed from small to big then decreased gradually. the relationship of average sediment transport rate and sediment yield rate per mm rainfall with topography fractal demension is expressed by gaussian model and this model is similar with relationship between volume and surface area

    （ 5 ）流域模型產沙強度的變化反映了流域模型在不同發育階段的侵蝕特徵，模擬試驗研究結果表明：在整個流域模型地貌地貌的發育過程中，其產沙強度呈現由小到大，然後又逐漸減小的總體趨勢，流域模型單位降雨產沙率及平均輸沙率與地形分維數表現為gaussian模型關系，其關系形式與結論3中相對體積和表面積之間關系相似，進一步說明了以地形分維數表達地形變化的合理性。
  14. The background subtraction method is used to retrieve the foreground, and the mixture gaussian model is used to model the background, during the modeling, the improved k - means algorithms is applied to improve the speed of background modeling ; 2. in the process of the background updating, the updating algorithms based on statistical average is used to update the background, compared to the traditional background updating methods, it improves the speed of the background updating ; 3. to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations, a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow

    本文在總結和分析了國內外相關研究工作的基礎上，針對運動物體檢測與提取中如何檢測與提取前景區域以及如何檢測與去除陰影的問題開展研究，其主要研究內容和成果如下: 1 .採用背景減除法提取前景區域，利用混合高斯模型進行背景建模，建模過程中，引入了改進的k -均值演算法，加快了背景建模的速度，提高了背景建模的質量; 2 .在背景更新的過程中，採用了基於統計平均的更新演算法，相對于傳統的背景更新方法，提高了背景更新的速度; 3 .針對運動物體陰影檢測與去除中，基於高斯陰影模型的陰影檢測方法在某些情況下對陰影檢測不準確的問題，提出了一種基於體色向量匹配的陰影檢測與去除演算法。
  15. Compared with second - order statistics, higher - order statistics not only reveal information about a process, but also are blind to any kind of a gaussian process

    其中，非高斯、非線性、非平穩和時變系統等復雜的系統辨識問題正在成為人們研究的熱門課題。
  16. Higher - order statistics can deal with either colored noise, non - gaussian, nonlinearities or nonminimum phase, whereas second - order statistics can not. so these methods based higher - order statistics are wide applicable in signal process and system identifications. this paper describes the basic theory and methods based higher - order statistics in applicability of system identification and signal process, introduces and analyses the theoretical and algorithmic results of identifying non - gaussian arma process during recent years

    當基於2階統計量（如功率譜、相關函數）的經典辨識方法無法滿足有色噪聲、非高斯、非線性以及非最小相位系統的要求時，基於高階統計量方法越來越受到人們的重視，已經成為系統辨識和信號處理等領域的研究熱點之一。
  17. The results show that the peak intensity of super - gaussian optical pulse becomes higher at the beginning, and the tail experiences a process of strengthening, and then weakening, which are different from gaussian optical pulse

    數值模擬的結果表明，超高斯脈沖的波形演變和高斯脈沖有所不同，不但峰值能量經歷了一個上升的階段，而且拖尾振蕩在初始階段也經歷了一個增強減弱的過程。
  18. First, the definition and properties of hos are introduced. we especially notice that hos is insensitive to gaussian process. this is the theoretical basis of signal detection and estimation

    文章首先介紹了高階統計量的定義和性質，特別指出了高階統計量對高斯過程不敏感，這是我們利用它進行信號檢測和估計的理論依據。
  19. The necessary conditions of the polar sets for d - dimension stationary gaussian process

    維平穩高斯過程極集的必要條件
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