波曼斯基 的英文怎麼說
中文拼音 [bōmànsījī]
波曼斯基
英文
pomanski-
For the circling moon phase mission, this paper proposes an autonomous optical navigation algorithm using the gauss - markov process and unscented kalman filter
針對繞月軌道段任務，提出了基於高斯-馬爾科夫過程和unscented卡爾曼濾波的自主軌道確定方法。For the problems arising from the absence of exact dynamics models, the gauss - markov process is used to approximate the un - model acceleration term in the circling orbit dynamics
利用高斯-馬爾科夫過程近似繞月探測器的無模型加速度，並利用基於unscented卡爾曼濾波估計了探測器的位置、速度及無模型加速度。Team them up with a supporting cast that includes max von sydow, director roman polanski, yvan attal, and basketball player sun ming ming and you have something that you will remember, even if you don ' t enjoy it
而包括馬克斯& # 8226 ;馮& # 8226 ;塞多、導演羅曼& # 8226 ;波蘭斯基、伊萬& # 8226 ;阿達勒以及籃球運動員孫明明在內的配角陣容也會讓你記住這部電影的某些東西，即使你不喜歡它。In the study of environment model - based processing, the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation, measurement system and noise models. furthermore, a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter
本文通過了對模基信號處理實現信號增強的理論研究，提出了一種利用傳播模型、噪聲模型和陣測量模型、並注重環境信息來實現水聲信號增強的方法，繼而實現了基於增廣高斯?馬爾可夫過程和相應的擴展卡爾曼濾波聯合的模基辨識器的信號增強演算法。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。Firstly, according to the characteristic that the doppler frequency shift signal can be approximated as a single sinusoid signal, the extended sinusoid signal retrieval ( pisarenko and esprit ) methods are presented and signal state and measurement formulations are developed, so the kalman filter recursive method is got. the brief introduction of low velocity moving target doppler frequency shift signal wigner - ville transformation and wavelet transformation expression are presented in this paper. secondly, because the clutter is gaussian distribution, cumement and high - order spectrum based methods are presented and the simulation results prove their good performance to suppress gaussian clutter in low velocity moving target doppler frequency shift signal processing
一個方面是根據低速目標的多普勒信號可簡化為單一正弦波形式這一特點，得到了擴展的高斯色噪聲背景下的諧波恢復演算法，即高斯色噪聲中的pisarenko諧波恢復法和旋轉因子不變法（ esprit ） ；並推導了信號的狀態方程和觀測方程，進而得到基於卡爾曼濾波的遞推演算法對信號進行提取；本文還簡單的介紹了低速運動目標的多普勒頻移信號的wigner - ville變換與小波變換；另一個方面是針對雜波服從高斯分佈這一特點，提出了對接收信號求累積量和高階譜來對高斯雜波進行抑制。Arsenal have completed the signing of polish international lukasz fabianski, but lehmann is not worried about the position he has with arsenal after signing a one - year extension
阿森納完成了波蘭國門盧卡斯?法比安斯基的簽約，但是萊曼在跟球隊續簽一年合同之後，對他的位置也不擔心。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。分享友人