狀態空間濾波 的英文怎麼說

中文拼音 [zhuàngtàikōngjiānlǜbō]
狀態空間濾波 英文
state space filtering
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 態 : 名詞1. （形狀; 狀態） form; condition; appearance 2. [物理學] （物質結構的狀態或階段） state 3. [語言學] （一種語法范疇） voice
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 狀態 : status; state; condition; state of affairs: （病的）危險狀態 critical condition; 戰爭狀態 state o...
  • 空間 : space; enclosure; room; blank; interspace
  1. To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

    詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。
  2. The final results obtained in this paper contained that the optimal interpolation scheme highlighted by the covariance that the correlation between different time and the correlation between different place being considered ; that the simplification of kalman filter with the singular - value decomposition ( svd ) and the direct construction of state transition matrix pfeceded with " inverse vector expression " ; and that the analysis of t / p data and its blending with theoretical model

    這些成果包括：建立考慮了時間相關的方差矩陣和時空相關的最優插值演算法；對卡爾曼濾波演算法進行了svd簡化以及建立了顯式的狀態轉移矩陣；將t p實時衛星數據進行調和分析並與數值模型進行同化處理。
  3. For large errors introduced by nonlinear state - space model in passive locating and tracking problems, various suboptimal recursive filtering algorithms are aralyzed and summarized, such as the extended kalman filtering ( ekf ), the modified gain extended kalman filtering ( mgekf ), the second order filtering and the adaptive extended kalman filtering ( aekf )

    摘要針對被動定位跟蹤中狀態空間模型非線性程度較高所引發的濾波精度偏低的問題，分析和總結了已有的包括推廣卡爾曼濾波（ ekf ） 、修正增益的推廣卡曼濾波（ mgekf ） 、二階濾波、自適應推廣卡爾受濾波（ aekf ）等各種次優遞推濾波演算法的特點。
  4. With the development of modern science and engineering technology, the two theory systems in target tracking filter domain are formed, which are classic wiener filter using frequency domain and modern kalman filter using state space

    隨著現代科學技術和工程技術的發展，目標跟蹤理論形成了經典的維納濾波（頻域法）和近代卡爾曼濾波（狀態空間法）的兩大理論體系。
  5. The twelve kinds of modes and equivalent circuits within one high frequency switching period are carefully analyses. by using the state - space averaging approach, the converter ' s averaging model is presented, the output characteristic curve and design criterion of key circuit parameters such as output voltage, filtering inductance, common conduction time, uni - polarity spwm waveform ' s duty cycle etc are given

    詳細分析了這類變換器在一個高頻開關周期內的十二個工作模式及其等效電路。採用狀態空間平均法建立了變換器平均模型，獲得了輸出電壓、濾波電感電流、共同導通時間、單極性spwm波占空比等關鍵電路參數的設計準則和變換器的外特性曲線。
  6. The circui t construct ion and the relevan t schemes of the realization of the circuit are also provided, simultaneously, the source of errors and the compensation methods are discussed. all of analysises, calculation results and simulations demonstrate that the methods presented in the paper are feasible, the algorithm is effective, the realization of circuit is simple, the procedures of the design are standard, the circuit is easy to be fabricated on a monolithic, and the system can be used for processing middle - high frequence signal and be applied in low - voltage, low - power and at high speed

    在此基礎上，本文首次提出了一種基於狀態空間對數域濾波器的一維連續小波變換實現方法、結構以及相關模塊電路實現的策略，並對該方法的誤差來源與補償措施進行了討論。論文中的理論分析與計算以及模擬結果表明，用對數域狀態空間濾波器實現一維連續小波變換的方法可行，演算法簡單、有效，電路實現簡單，設汁過程規整，易於單片集成，適合處理中、高頻信號並運用於低電壓、低功耗、高速的場合。
  7. The deducing of the algorithms has very practical value in state estimation for systems under the complex environments. in the instance of complicated multi - channel system with multiplicative noise, the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space. the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise, the dissertation broadens rajasekaran filtering algorithm

    本文針對復雜多通道帶乘性噪聲系統，應用新息的方法和hilbert空間的投影定理，對狀態最優濾波和平滑估計、隨機輸入信號的最優估計等理論與應用方面的問題，進行了進一步的探討，著重完成了以下工作：第一，根據復雜多通道乘性噪聲系統問題的實際需要，推廣了rajasekaran濾波演算法。
  8. Then, the fundamental principles on log - domain integrator, the influences of relevant non - ideal factors and the ways of compensation are discussed in detai1, simultaneously, pspice s imulation results are presented, the results are in accord with theoretical analysis. base on above discussions, the state - space synthesis method of log - domain filter is introduced in length, it is showed that the method has a advantage, i

    在以上討論的基礎上，詳細地介紹了對數域濾波器的狀態空間綜合法，並說明這種方法使電路結構與狀態空間描述之間具有一一對應的關系，是一種系統的方法，適于設計具有傳輸零點的網路函數和高階濾波器。
  9. Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system

    包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容，詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法，以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾，跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術，提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等
  10. By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise

    通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。
  11. Compared with kalman filtering, the unknown definite disturbance with finite energy instead of white noise drives the state - space system in h filtering. compared with the time - variant filter and the first - order filter, h filter has preferable robustness

    與kalman濾波相比， h _濾波採用未知的具有有限能量的確定性干擾代替白噪聲驅動狀態空間系統；與時變濾波器和一階濾波器相比， h _濾波器具有較強的魯棒性。
  12. E there is one - to - one map between the mathematical formulation and circuit realization, and that the method is systematic and suited for designing the network function with zeros and high - order filter. at last, the limitation and applied fields of the methods for realizing one - dimension cwt based on state - space log - domain filter are pointed out, it is also proved by the theoretical analysis and calculation results that the methods are suited for synthesizing the wavelet functions with very small scale or the frequence - transloction version of the mother wavelet ( with much translocation in frequence - domain )

    論文還給出了用狀態空間對數域濾波器實現一維連續小波函數的限制條件，並指出了這種實現方法的應用范圍，理論分析與計算結果表明該方法適合用於實現尺度很小的小波函數或由原基小波經頻譜搬移（搬移程度較大）后的小波函數。
  13. 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。
  14. The run stm program includes the control of scanning signal, supervise and control the running state, set the scan range, set parameters, set and acquire the clock, collect and save the image signal, etc. image manipulation functions includes : on the space of the wipe of speckle, smooth image, blur, step sharp image, laplace sharp, and automatically adjust contrast, etc

    Stm運行程序包括掃描信號控制、運行狀態監控、設置運行參數，設置並獲得時基、圖像信號採集存取等等。圖像處理功能包括在空間域上的去斑、圖像平滑、模糊、圖像的梯度銳化、拉譜拉斯銳化，對比度自動調整等等功能，在頻域空間上完成數字圖像的傅立葉變換，並討論了理想高低通濾波。
  15. Recently, withthe rapid improvement of performance of digital processor, sequential monte carlo ( smc ) method has a wide range of application in engineering, especially in signal processing, statistics, and econometrics etc. the time varying systems can be stated in the form of a dynamic state space model. for linear models and gaussian noise, the kalman filter provides analytical expressions for posterior filtering

    一般的時變系統都可以被看作是一動態狀態空間模型，對于線性高斯模型，卡爾曼濾波可以給出后驗密度函數的解析解；而對于非線性非高斯模型，我們則無法得到它的解析解，在這種情況下則可以使用序列蒙特卡羅方法來對其進行近似。
  16. As other predictive filters, state space is recursively got from measure space with system model by using the particle filter

    這種濾波和其他預測性濾波一樣，可以通過模型方程由測量空間遞推得到狀態空間。
  17. The theories and the methods of vlsi implementation of one - dimension continuous wavelet transform ( cwt ). which bases on state - space log - domain filter, are developed in the paper

    本文研究基於對數域狀態空間濾波器的一維連續小波變換vlsi實現理論與方法。
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