紹因波爾 的英文怎麼說

中文拼音 [shàoyīnbōěr]
紹因波爾 英文
shoimpol
  • 紹 : Ⅰ動詞（繼續; 繼承） carry on; continueⅡ名詞1. （指紹興） short for shaoxing2. （姓氏） a surname
  • 因 : Ⅰ動詞[書面語] （沿襲） follow; carry on Ⅱ介詞1 [書面語] （憑借; 根據） on the basis of; in accord...
  • 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...
  • 爾 : [書面語]Ⅰ代詞1 （你） you 2 （如此; 這樣） like that; so 3 （那;這） that Ⅱ[形容詞后綴: 率爾而對 ...
  1. In this paper, we introduce a new framework for statistical signal processing based on wavelet - domain hidden markov models ( hmms ) that concisely models the statistical dependencies and nongaussian statistics encountered in real - world signals, since the wavelet transform can decorrelate image data by reducing the number of states of wavelet coefficients, thus making wavelet - domain hmms manipulable and usefu l for statistical image modeling

    本文介紹了一種統計信號處理的框架模型，這種模型是基於小波域的隱馬爾可夫模型，它可以簡潔地對實際生活中遇到的信號的統計相關性和非高斯統計進行建模。因為小波變換可以通過減少小波系數的狀態數量來去除圖像數據的相關性，因此小波域的隱馬爾可夫模型對于統計圖像建模是可以掌控的和有用的。
  2. The kalman filter theory is introduced and the dynamic error vector equation of the initial alignment is derived at the first. using velocity error as exterior value of observation, maneuverable characteristic that is influenced with system ' s observability and its degree is studied at length by do amount of simulations and experiences. choosing output error of accelerometers and angle error of attitude as observation respectively and system observation model is derived, which is based on analyzing kalman filter theory

    首先介紹了卡爾曼濾波理論及相關技術，建立了系統卡爾曼濾波的狀態方程和觀測方程；首先採用速度誤差作為觀測值，詳盡的研究了系統機動特性對可觀測性和可觀測度的影響，並做了大量模擬實驗：通過對濾波原理的分析研究了影響的原因；分別選用加速度計輸出誤差和轉臺輸出姿態角誤差作為外部觀測值，推導建立它們的觀測模型，並通過模擬證明了分析結論的正確性。
  3. 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。
  4. First, this paper will introduce the random factors affecting the trajectory, kallman filtering method, and the mathematic model that is used to process radar data processing and extrapolate the trajectory

    首先介紹了影響彈道的隨機因素、卡爾曼濾波方法、偵察及校射模式下雷達數據處理及彈道外推的數學模型。
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