概率速度 的英文怎麼說
中文拼音 [gàilǜsùdù]
概率速度
英文
probable velocity- 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
- 速 : Ⅰ形容詞(迅速; 快) fast; rapid; quick; speedy Ⅱ名詞1 (速度) speed; velocity 2 (姓氏) a surna...
- 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...
- 速度 : 1. [物理學] velocity; speed; blast; bat 2. [音樂] tempo3. (快慢的程度) speed; rate; pace; tempo
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In this paper, the concept of acceleration ambiguity function ( aaf ) and acceleration resolution is put forward for the first time. using aaf, the effects of target ' s relative acceleration on several outputs of a linear - phase matched filter are analyzed, such as the output signal - noise - ratio loss, the doppler resolution, the constraint on optimal accumulative time ( opt ) and their tolerable limits
論文首次提出並研究了加速度模糊函數和加速度分辨力的有關概念,並以加速度模糊函數為分析工具,詳細討論了加速度對線性相位匹配濾波器的輸出信噪比的損失程度、對多卜勒頻率分辨能力的影響程度、對最優相參積累時間的約束關系以及線性相位匹配濾波器輸出受加速度影響的容限等問題。This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers. in the optimization calculation process, mutation rate, cross rate and parameter range are adaptively changed to accelerate optimization process
本文用遺傳演算法優化工程中廣泛使用的pid控制器的參數,採用變參數區間、變交叉變異概率等方法提高計算速度,並對適應值函數進行了改進。The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed
較好地解決多阻尼比反應譜擬合問題;本文方法通過一次運行就能獲得一組具有集系特性的地震動,在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢,產生的人造波或人造波集系可滿足工程抗震設計需要;在遺傳演算法中,交叉概率和變異概率是影響收斂速度的重要參數,本文採用的改進自適應交叉概率和變異概率,可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率,以保證演算法始終以較好的速度向pareto最優解集逼近。Random pulse position modulation ( rppm ) signal not only has good resolution of distance and velocity, but also has low probability of interception and strong properties of eccm
隨機脈位調制信號不僅具有良好的距離和速度分辨力,而且具有較低的被截獲概率和較高的抗干擾性能。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。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 。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。Research on wind is the precondition of wind response, then the section plane of static wind, intensity of onflow, psd function and correlativity of dynamic wind are involved in
對風的研究是進行風振響應研究的前提,風的基本特徵包括平均風速剖面、湍流強度、脈動風功率譜密度函數、脈動風的空間相關性以及極端風速的概率統計特性。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。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。In the first chapter, we narrate the characteristic of convertible bond, give some clues about development and actuality of the market and its pricing theory ; in the second chapter, we introduce modeling idea and some material problems in the model in detail, draw the yield curve which is very important to the model by spline method ; in the third chapter, we first explain the basic idea and convergent speed of monte carlo method, then, give the mathematical description for financial market, prove equivalence of non - arbitrage market, existence of risk neutral probability measure in the market and the price process of underlying asset is a martingale ; in the forth section, we introduce how to simulate stock price path by monte carlo method in detail, based on foregoing result, we prove the path is a martingale, thereby, the model is logical
本文第一章先對可轉債的特點、市場發展和現狀及其定價理論的發展和現狀作一概述;第二章詳細介紹了建模思想和模型中的一些具體問題,利用spline方法繪出了在模型中具有重要作用的收益曲線;第三章首先敘述了montecarlo方法的基本思想和有關其收斂速度的一些性質,然後從數學的角度給出了對金融市場的描述,證明了市場無套利、市場存在風險中性概率測度及標的資產價格過程為鞅的等價性;在第四節中,對用montecarlo方法模擬的帶跳股價路徑作了詳細介紹,並利用前兩節的結論證明了模擬的帶跳股價路徑為一個鞅過程,從而保證了模型在理論上的合理性。Particle velocity pdf particles trajectory model of two - phase flow and numerical simulating
顆粒速度概率密度分佈軌道模型及數值模擬The probability density distribution of the particle velocity fluctuation differs in different flow regions, and is approximately normally distributed where the space restrictions are small. velocity fluctuation of particles with different sizes is similar
顆粒脈動速度的概率密度分佈隨流區有所差異;在空間尺度影響較小的范圍接近正態分佈;各種粒徑的顆粒脈動速度具有相似的特性。Probability density function method for studying reconstructed attractor and detection of ventricular tachycardia and fibrillation
概率密度函數法研究重構吸引子並檢測心動過速和心室纖顫The motion characteristics of the suspended particles were obtained by statistical analysis, including vertical concentration distribution, mean velocity profile, turbulent intensity, velocity correlation, and the probability density distribution of the velocity fluctuations. attempt has also been made to interpret the turbulent characteristics in terms of particle properties and turbulence structure
對不同容重、不同粒徑的顆粒在不同水流條件下的垂線濃度分佈、平均速度和脈動強度分佈、相關函數及脈動速度的概率密度分佈等進行了全面系統的統計分析,得到的中文摘要主要成果如下:Current. in order to make diffluent piers with low ridge to be popularized and applied, the surface wave of low fr. current is chosen as the research object. we measure the surface wave elements and the velocity distribution of various diffluent piers scheme by the experiment of physical model. we also analyze the average wave height, the the average value of the square of wave, unit width of the wave ' s energy, the probability density distribution of wave height, and the power chart character, so as to reveal the weakening wave mechanism of the diffluent piers
低fr水流的核心是波浪問題,為了低坎分流墩的推廣應用,本研究以低fr水流的表面波浪作為研究對象,通過物理模型試驗,對各種分流墩方案消能工的下游水面波浪要素、流速分佈進行測試,分析低坎分流墩下游波浪的平均波高、均方根、單寬波能、波高概率密度分佈及功率譜特性變化規律,從而揭示了低坎分流墩的削波機理。In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法,對於四種具有代表性的核,從前述的三個性能評價方面做了分析和對比,指出了其速度快的優點和對非平穩圖像適應性差的弱點,針對非參數法的弱點,重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型,在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法,突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計,實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像,由此建立了殘余圖像的雙參數拉普拉斯模型,實驗表明其可以完好的吻合殘余圖像的概率密度曲線。On the other side, we use nearest neighbor approximation to calculate gussian mixture densities, which can reduce recognition time by 6. 67 % compared with standard viterbi beam search algorithm
另一方面,使用高斯混合概率密度的最近鄰快速估算方法,使標準viterbibeam搜索演算法的搜索速度提高了6 . 67 。In the case of white noise, we research the system stochastic differential equation and fokker - planck ( fpk ) equation detailedly. the mechanism of sr is re - explained by system response speed and a new method is introduced, i. e., psr theory and method. it is shown that the output signal - to - noise ratio ( snr ) obtained by adjusting systems parameters can exceed that by turning noise intensity, especially when the input noise intensity has already been beyond the resonance region or point
在白噪聲假設下,以系統隨機微分方程和其概率密度滿足的fpk方程為基礎,本文詳細地探討了非線性雙穩態信號處理系統輸出的數字特徵,引入了系統響應速度,重新解釋了隨機共振現象產生的機理;通過系統參數調節,而不是調諧噪聲來產生隨機共振現象,提出了參數調節隨機共振理論和方法。The state is markov process in appropriate expanded space and the accurate stationary solution, which is the probability density function of velocity response, can be obtained by solving its corresponding fpk equation
在適當擴大了的空間中,其狀態是馬爾可夫的,通過求解對應的fpk方程可得到精確穩態解,即速度響應的概率密度函數。分享友人