概率密度 的英文怎麼說

中文拼音 [gàilǜmìdù]
概率密度 英文
density of probability
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 密 : Ⅰ名詞1 （秘密） secret 2 [紡織] （密度） density 3 （姓氏） a surname Ⅱ形容詞1 （距離近; 空隙小）...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. At last, the probability density function shows multi - fractal characteristic, which is gauss distribution in euclidean space

    流體微團的概率密度分佈函數也表現出多重分形特徵
  2. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  3. The coefficients of skewness ( cs ) and kurtosis ( ce ) have the feature of cs < 0, ce

    縱向脈動速度概率密度分佈的偏態系數0 0 ，峰態系數ce 。
  4. The probability density distribution of + conforms to the lognormal behavior

    低速帶間距的概率密度分佈可用對數正態分佈來描述。
  5. Another advantage, contrast to using convolutional codes or turbo codes, is its low complexity while maintain high ber performance because the check equations are used to terminate the both iterations. we develop the theoretical error free feedback bound for bpcm - id and predict the threshold for decder convergence using the extrinsic information ransfer chart ( exit )

    利用非正則ldpc具有不同度的信息節點概率密度演化的差異，對高階星座中具有較高級別的子通道提供額外的保護，可使迭代反饋判決時，星座子集擁有最大的無錯反饋歐氏距離調和均值，從而改善系統的迭代收斂特性。
  6. The signal process function of the software include these function : digital filter, windowing, auto - correlation function and cross - correlation function, mean and variance, probability density function and probability distribution function statistic ; auto - power spectrum, cross - power spectrum, frequency response function, coherence function, cepstrum analysis based on fft ( fast fourier transfer ) ; joint time - frequency analysis based on stft ( short - time fourier transfer )

    軟體的處理功能包括：數字濾波、時域加窗、自相關與互相關處理、均值和方差計算、概率密度和概率分佈函數計算；在快速傅立葉變換（ fft ）基礎上計算自功率譜、互功率譜、頻率響應函數、相干函數、倒頻譜分析；基於短時傅立葉變換（ stft ）的聯合時頻分析等。
  7. Concurrent soft decision - directed blind equalization algorithm based on parzen window method pdf

    概率密度函數的并行軟方向判決盲均衡演算法
  8. Calculation of probability density function based on flamelet theory

    理論的概率密度函數的數值計算
  9. A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique

    本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究，其具體內容為：對近年來的研究工作進行了系統的介紹；提出了一個由粗到細的多階段的人臉檢測演算法，該演算法充分利用了序列圖像中人臉模式的各種有用信息，將復雜的檢測工作分為了四個部分：膚色區域分割預處理，人臉粗檢及利用橢圓擬和的人臉區域提煉，應用人臉基本特徵檢測和定位的人臉細檢， pca結合高斯概率密度估計的人臉驗證。
  10. The probability density function of net rainfall relative errors, flood peak discharge relative errors and the time error of the forecasted flood peak are calculated by the model developed

    通過建立洪水預報誤差分佈的最大摘模型，計算出9座典型水庫洪水預報的凈雨相對誤差、洪峰流量相對誤差和峰現時間預報誤差的概率密度函數，並將其概率密度函數曲線與正態分佈曲線進行比較。
  11. The paper in the context of the statistic - dynamic analyses the heterogeneity of spatial distribution of the precipitation. the generality of the spatial probability distribution model of the precipitation was explored

    本文從陸面過程的物理機制出發，利用統計? ?動力學方法，闡述了中國區域的月降水量和日降水量的空間分佈非均勻性，並尋求適宜的空間分佈概率密度函數進行描述。
  12. 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
  13. Combined with the prior distribution of the model parameters and water quality observation data, joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem

    結合模型參數的先驗分佈和水質監測數據，通過貝葉斯定理計算獲得了表徵參數分佈規律的聯合后驗概率密度函數。
  14. Probability density evolution method for analysis of stochastic structural dynamic response

    隨機結構動力反應分析的概率密度演化方法
  15. The joint probability density distribution ( pdf ) of the velocity fluctuations falls along the directions of - u + v and + w - v especially for fine particles

    聯合概率密度主要沿一u v和十u ? v方向分佈，粒徑較小的顆粒更為明顯。
  16. The ica - based method without assumption that data follow normal distribution, can easily calculate the joint probability density function of independent components ( ics ), because each of ics statistically independent

    採用獨立分量分析的方法可以避免數據服從正態分佈的假定，且由於各個獨立成分之間統計獨立，其聯合概率密度函數可以很方便的求取。
  17. Secondly, we numerically simulate the turbulence behavior of one - dimension fpu model and obtain probability density functions of the velocity differences in different conditions. we use tsallis statistics to fit the probability density functions and find out it was fitted very well

    其次，我們對一維fpu模型中類似湍流行為進行了數值模擬，得到不同條件下速度差的概率密度函數，並利用tsallis統計對其進行擬合，發現兩者符合得非常好。
  18. Frequency code is not uniformity distribution and keeps to a probability distribution function defined by the spectral characteristics of the target of interest. the phase code is equally duality pseudo - random sequence and used to reduced the sidelobes of the signal correlation function. and the mismatch - phase sequence is corresponding with the frequency sequence one by one

    而頻率編碼為不均勻分佈，由所觀測目標的頻譜信息提取出概率密度函數決定頻率編碼序列的分佈；相位編碼為二元的偽隨機序列，採取均勻的二相編碼，消減同頻脈沖帶來的過高的相關函數的旁瓣；而失配相位為與頻率編碼相一一對應于各子脈沖中。
  19. A fundamental inequality based on the bounds for transitional densities of recent work is obtained

    基於擴散過程轉移概率密度界的最近研究結果，我們得到了重要的不等式和關鍵的引理
  20. We obtain some bounds of tvar by recent improvements on the inequalities of transitional density of diffusion processes in our main theorems

    由擴散過程轉移概率密度界的最近研究結果，我們得到了時變在險值的一些上下界
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