recursive filter 中文意思是什麼
recursive filter
解釋
遞歸濾波器-
Under the condition of " comparatively weak correlation between the two noises involved, coherence function is used as a frequency domain amplification factor for improving snr of the output signal to the filter and the speech enhancement effect. meanwhile, a real - time recursive algorithm is put forward in substitute for current algorithms based on short time fourier transform. the new algorithm will simplify computations and will be suited for real - time implementation together with the adaptive systems
接著針對上述nanc系統兩路輸入信號噪聲相關性弱的情況，用相干函數作頻域增益因子來提高輸出信噪比與改善語音增強效果，同時，通過一種實時迭代演算法解決了短時傅氏變換計算量大的問題，簡化了計算，便於實時處理與實際應用。 -
Finally, a new sub - optimal recursive sage adaptive filter is achieved, which is adapt to process high dynamic data
最終，得到了一種非常適合於高動態數據處理的新的次優遞推sage自適應濾波器。 -
The output sinr limitations of mmse and constrained mmoe optimal filter are derived in the cirsumstance aforementioned. these limitations constitute the base of the code - aided optimal filtering and nbi estimate - subtract filtering. this dissertation summarize the recursive least squares ( rls ) algorithm, blind recursive least squares algorithm and the qr decomposing for these two algorithms
為自適應實現碼輔助最優濾波，本文系統總結了遞歸最小二乘（ rls ）和盲遞歸最小二乘（ brls ）演算法，以及兩者基於正交三角分解（ qrd ）的并行計算結構。 -
Dim point target detection algorithm based on recursive max filter
基於前向查找和均值漂移的點模型魯棒降噪演算法 -
Fdi methods are of great importance to integrated navigation. so in this paper, the common fdi methods are summed up, classified and compared in detail ; the algorithm of state - consistency - checking provided by kerr is innovated ; fault diagnosis of the decentralized estimators are thoroughly discussed, for which the diagnosis scenario is also designed. the classic sub - optimal recursive sage adaptive filter is innovated in this paper
對組合導航常用的fdi （ faultdetectionandidentification ）演算法進行了詳細的總結、分類，分析、比較；對kerr提出的狀態一致性檢驗演算法進行了改造和補充；詳細討論了分散化估計中的故障診斷問題，設計了與之對應的故障診斷方案。 -
The particle filter is a filter method based on monte - carlo simulation and recursive beyesian estimation
粒子濾波是一種基於蒙特卡羅模擬和遞推貝葉斯估計的濾波方法。 -
In chapter 2, many kinds of adaptive filter algorithms are discussed. this section analyzes the least mean squares ( lms ), normalized lms ( nlms ) and recursive least squares ( rls ) algorithms, and evaluates their performance as acoustic echo canceller
分析了最小均方誤差（ lms ）演算法、歸一化的最小均方誤差（ nlms ）演算法和遞歸的最小二乘（ rls ）演算法，並且結合聲回波抵消演算法評估了它們的性能。 -
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。 -
2. the real - time processing technique of strong ground motion data is studied in this paper. based on the research of kanamori etc., the relation between the design parameters of recursive filter and its corresponding low frequency cut - off frequency is obtained and quantitative phase adjustment is analyzed
本文在kanamori等人研究工作的基礎上，發展了一套強震觀測數據的實時處理技術，分析了遞歸濾波器設計參數q與所對應的低頻截止頻率f _ c以及相位校正的定量關系。 -
3. based on the low - pass filter coefficients of daubechies 4 wavelet, we present another multiscale recursive data fusion estimation algorithm
3 .基於daubechies4小波的低通濾波系數，發展了一種新的多尺度數據融合估計演算法 -
Parameter design of second order recursive mti filter
濾波器的參數設計方法 -
Moreover, based on these objects segmented, the paper discusses the tracking model based on recursive extended kalman filter ( ekf )
本文提出了基於擴展卡爾曼濾波器的運動跟蹤模型，來實現對運動目標的跟蹤。 -
Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented
基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。 -
Given the condition of the fusion tracking under multiple sensors non - linear measurements, this paper applies the conclusion of the analysis of single sensor decoupled cmkf, tss filter and tss variance to the fusion tracking system. it also studies their application in basic measurement fusion and track fusion algorithm, and covariance recursive formula of track fusion is deduced. which offers a new way for steady - state performance evaluation of multi - radar fusion tracking
考慮多傳感器非線性觀測下的融合跟蹤，論文將單傳感器解耦cmkf 、 「暫穩態」濾波器以及「暫穩態」方差分析的結論推廣應用到融合跟蹤中，研究了其在基本的量測融合和航跡融合演算法中的應用，推導了航跡融合中互協方差的遞推公式和「暫穩態」公式，為多雷達融合跟蹤的穩態性能估計提供了一種新途徑。
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