遞歸濾波 的英文怎麼說
中文拼音 [dìguīlǜbō]
遞歸濾波
英文
recursive filtering-
Iir filters are a kind of digital filters with recursive structure and are primarily used for high data throughput applications that can tolerance phase distortion and require a sharp cut - off characteristic
本文討論的iir濾波器是一種遞歸結構的數字濾波器，主要用於能夠容忍相位失真而要求具有良好的衰減特性的高數據處理量的系統中。A kind of optimal filter algorithm based on wavelet transform
基於最大值遞歸濾波器的暗點目標檢測演算法In recent decades, people have made a research in single channel deconvolution problems, for example, the traits, fast algorithm of deconvolution results and process for error. they proposed many methods, such as inverse filter algorithm, z transform algorithm, dfs algorithm, l2 algorithm, recursion algorithm
幾十年來，人們對單通道信號卷積反演問題如反卷積解的性質、解的快速演算法及對誤差的處理等進行了深入的研究，並取得了不少的成就，如逆濾波法、 z變換法、遞歸法、 dfs法、最小平方法等。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。First, it delves into the key technique of eis ? image registration, and presents an effective registration algorithm which is from coarse toprecise and form local to global. second, it applies recursive kalman filtering technique inmotion filtering of registration parameters and makes motion compensation for practical image. finally, it takes advantage of mosaicking to reconstruct undefined regions to avoid theubiquitous information missing and image degradation. this algorithm has high precision as wellas high speed
首先，對電子穩像中關鍵環節? ?圖像配準技術進行了深入研究，給出一種由粗到精、由局部到全局的高效配準演算法;接著，採用了遞歸kalman濾波技術對配準參數進行運動濾波並對實際圖像進行運動補償;最後，利用了圖像拼接技術進行「無定義區」重建，避免了普遍存在的信息丟失和圖像降質問題。Improved image restoration rbf model based on the kalman filter
基於雙遞歸均值濾波的紅外點目標檢測Since there are a lot of periodic non - stationary stochastic processes, i combine the kalman filtering and multiresolution analysis methods, and propose the wavelet - kalman filtering hybrid estimating and forecasting method. this method has the real - time, recursion and multiresolution characteristics. in this paper, using this method, i realize the real - time tracking and dynamic multistep forecasting in one cycle
針對自然、社會和經濟等環境中存在有大量周期性的非平穩隨機過程，我們將kf方法和多尺度分析方法相結合，提出了既具有實時性和遞歸性又具有多尺度分析能力的小波?卡爾曼濾波混合估計與預報方法，應用此方法可實現周期內對目標狀態的實時跟蹤估計和動態多步預報。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。分享友人