隨機濾波 的英文怎麼說
中文拼音 [suíjīlǜbō]
隨機濾波
英文
stochastic filtering-
On this basis, sectionalized linearization of bilinear hysteretic structural characteristics and bilinear hysteretic filtering of structural system are put forward
在此基礎上,又提出了雙線形滯后體系的隨機分段線性化法和雙線形滯后體系的隨機分段線性濾波器。The research indicates that the random sectionalized linearization methodology introduced by the author is more simple and efficient than stochastic equivalent linearization method, so it is convenient for generalizing
研究表明,作者提出的隨機分段線性濾波器較等效線性濾波器計算程序簡單得多,便於推廣應用、而且效率高。However, the efficiency of pwm at light load is low and the filter design of pfm is rather difficult due to the random characteristic of the frequency spectrum distribution
採用相應調制方式的ic品種繁多,各有千秋。但pwm在輕載時效率較低,而pfm由於頻譜分佈隨機,不利於后續濾波器的設計。The first algorithm is low precise but simple and credible, the second is high precise but complex and incredible. 4 ) developed four kinds of methods aimed to improve precision and credibility of navigation system. the first is parallel sandia inertia terrain - aided navigation ( psitan ) ; the second is tercom + sitan, it can restrain two important disadvantages of sitan ; the third is particle filter - based terrain - aided navigation ( pftan ), the particle filter can reduce the error of navigation ; the last is tercom + pftan, where tercom is looked as monitor to ensure the credibility of navigation system
採用并行sitan方法來提高導航精度,並克服奇異值問題;提出了tercom + sitan方法,綜合利用兩者的優點,在保持sitan導航精度的前提下,有效地克服了sitan的兩個缺點;提出了一種基於連續蒙特卡洛濾波(常被稱為particlefilter )的地形匹配演算法( pftan ) ,有效地克服了利用sitan時由於地形隨機線性化帶來的誤差,使導航精度有較大的提高;提出了tercom作為監視器的地形輔助導航思想,並將其應用到連續蒙特卡洛方法上,較大地增加了系統的可靠性和精度。The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward
主要成果包括:提出了模糊隨機變量協方差和反向協方差的概念;研究了二階模糊隨機變量的均方收斂性,並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理;根據均方模糊隨機分析理論,得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程;證明了ito型模糊隨機微分方程解的存在唯一性,並給出了ito型線性模糊隨機微分方程解的表達式,統計特徵方程以及非線性模糊隨機微分方程的數值解法;得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法;研究了當觀測值是模糊數據時,線性回歸模型的建立。To eliminate the serious random noises which exist in the analog sigals, the frequency spectrum of the signals are analyzed, then several digital filteration arithmetics are compared with each other and the best is selected
為消除測量信號中存在的比較嚴重的隨機干擾,在對測量信號作頻譜分析的基礎上,比較了幾種數字濾波演算法的處理效果,進一步提高了測量精度。Firstly, the mathematical method, wavelet transform of random error processing and kalman filtering algorithm of system error estimation, is designated ; the process of development of wavelet transform and its present research is recommended ; and, the definition and development situation of real - time data processing and post - flight data processing of trajectory measurement data is summarized briefly
首先指出了應用的數學方法,即處理隨機誤差的小波變換方法和估計系統誤差的kalman濾波演算法;介紹了小波變換方法的發展過程和國內外的研究現狀;綜述了彈道測量數據的實時數據處理和事後數據處理的概念和發展狀況。Because the wind load is a random action, the statistical parameters of structural response under this load can hardly obtained beforehand. however these parameters is necessary to klaman filtering as the preliminary condition. if not ? ot, this signal processing cannot be called the genuine real time optimum estimation
由於風荷載是一種隨機作用,結構在這種荷載的作用下,結構響應的統計參數不可能事先得到,而這種參數卻是kalman濾波的初始條件,也就不能實現真正的實時最佳估計。The kalman filter is introduced and explored by assimilating sea temperature observations into one - dimensional numerical temperature model, which is decomposed into two parts, one part is the certain, the other is the random. then a data assimilation model is set up, it can assimilate sea temperature continuous observations data
在此基礎上,利用kalman濾波原理,以一維海溫垂直分佈的數值模式為例,通過對原模式進行分解,得到確定性模式和隨機過程兩部分,繼而建立了一個可同化海溫連續觀測資料的數據同化模式。In the future it may be possible to have such bandpass sigma - delta adcs with userprogrammable digital filter coefficients, so that the passband of a receiver could be modified during operation in response to the characteristics of the signal ( and the interference
未來可能會出現用戶可編程數字濾波系數的帶通- adc ,這樣接收機的通頻帶就可以隨著所接收的信號的特性而改變。This paper include the following parts. firstly the sine exciting - voltage is guaranteed by direct digital synthesize technology ; secondly the digital output of cos ( 9 ) and sin ( 9 ) are generated by microcontroller ; thirdly the two voltage signals which are the product of the two former signals gained by the multiplying d / a converter, being filtered and amplified, have constant frequency, and one amplitude has sine function relationship of with the input angle, and the other amplitude has cosine function relationship of with the input angle ; finally the two signals are acquired and analyzed by relative instrument and software
主要由以下幾部分組成:用數字頻率合成技術( dds )產生正弦激勵電壓信號u _ msin ( t ) ;用單片機產生幅度的數字量輸出sin ( )和cos ( ) ;用乘法型d a轉換器實現激勵電壓和幅度的乘積,並通過濾波器和功放后即得到頻率固定,幅值隨輸入角成正餘弦變化的電壓信號;最後用數據採集卡採集輸出信號,顯示波形並進行頻譜分析。This dissertation adopts a universal digital ds / dmpsk modulation and demodulation scheme which is based on fpga. this scheme adopts quadrature balanceable modulation, intermediate frequency sampling, digital matched filtering, delay differential demodulation techniques and so on. it directly processes the digital signals on intermediate frequency without down - conversion, and doesn ’ t need pseudo random codes synchronization and carrier wave extraction circuits
本文採用了一種基於fpga的通用數字調制解調方案,該方案在調制端採用了正交平衡調制技術,在解調端採用了中頻帶通采樣、數字匹配濾波、延時差分解調等技術,直接在中頻上進行數字信號處理,不需要進行下變頻,也不需要增加額外的偽隨機碼同步捕獲和載波提取電路。This paper utilizes stochastic optimal control theory, ito formula in stochastic analysis and nonlinear filter technique to maximize the expected utility from the terminal wealth
本文運用隨機最優控制理論、隨機分析中的it ( ? )公式及非線性濾波技術,研究投資者極大化終止時刻期望效用的最優投資策略問題。Then, we use a simulation method to create a large number of radar measurement values, produce a quantity of random numbers using computer software and add them to the radar measurement values, we use kallman filtering method to calculate the location, velocity and trajectory coefficient of the target at the moment of the final tracking point, and use the numerical solving method of differential equation to calculate the trajectory, the location of the hostile artillery or the impact point of its own projectiles, finally, we calculate statistically the random error of the tracking system and analyze the location accuracy
然後採用模擬模擬方法獲得大量的雷達測量值,由計算機軟體產生大量的隨機數,加入雷達測量值中,用卡爾曼濾波法計算出最後跟蹤點時刻的目標位置、速度和彈道系數,再用微分方程數值解法計算出整個彈道軌跡、計算出敵方炮位的位置或己方炮彈的落點,最後統計出跟蹤系統的隨機誤差,分析定位精度。One dimension river flow roughness parameter inverse analysis kalman filter is introduced into the model to solve stochastic error in observed data. applying kalman filter automatism revising system, dynamic roughness course is obtained. using dynamic roughness course the model result precision is improved, it is more consistent with observed data
對於一維河道糙率參數反分析,針對觀測資料存在的隨機誤差,引進卡爾曼濾波器的自動校正系統,求解出河道糙率變化的動態過程,使用動態糙率計算,明顯改善模型的模擬精度,使模擬過程和觀測過程很好吻合。Therefore, basic methodologies for stochastic seismic and filtering responses of nonlinear structure are studied, the approximate solution methodologies and their practical applications are investigated in the dissertation employing equivalent linearization and moment equations method based on fpk equations and ito stochastic differential equations
因此,本文基於fpk方程和伊藤隨機微分方程,研究了滯后結構物的隨機地震反應和隨機濾波問題的基本方法,並利用等效線性化法和矩方程法,研究了非線性結構隨機地震反應分析和隨機濾波分析的近似解法及它們的工程應用。We should discuss the feature of nonlinear filter according the differences among them
而次序統計濾波器作為非線性隨機濾波的討論則格外引入注目。Here, we discuss the properties of some nonlinear filters based on the robustness of order statistics. the properties can be applied in document analysis
本文正是從次序統計量的穩健性入手,對幾種非線性隨機濾波器的特性展開討論,並將其應用於圖像處理,特別是二值文本圖像處理。In some cases we can not get good results by linear filters, but nonlinear filters is fit for that
在一些傳統線性濾波方法失效的場合,非線性隨機濾波方法有時卻能取得相當的成功。Taking the mean - field model of a nonlinear resonator filled with two - level atomic medium as an example, we use spatial fourier filter techniques to select optical pattern, and first introduce the discrete random filter method which proved to be flexible and effective for the system having rotary invariability
首次提出了離散隨機濾波方法,得到了豐富的斑圖結構,證明此法可以靈活有效地對斑圖進行選擇和控制。通過對注入泵浦光調制也實現了對這一系統斑圖的選擇。分享友人