time varying filter 中文意思是什麼
time varying filter
解釋
時變濾波器-
On the basis of investigation and research about the technology of reconstruction for ict image up - to - date, this paper is devoted to develop an algorithm for image reconstruction based on wavelet theory. in this paper, time - frequency distribution for spatially varying filter was used to construct convolve - kernel by dwt, to modify convolve - back - projection algorithm
本文在國內外有關ct圖像重建的研究狀況基礎上，根據小波分析理論，利用小波變換在時頻空間的可變性，用dwt變換構造卷積核，對卷積反投影演算法做了改進。 -
By changing the multiple time - varying fading factors of the strong tracking filter, mstkf switches between kalman filtering and strong tracking filtering
通過直接改變強跟蹤濾波器的多重時變漸消因子， mstkf在卡爾曼濾波和強跟蹤濾波兩種工作狀態之間切換。 -
The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。 -
We can reduce the isi and noise by elaborately designing transmitting filter and the receiving filter when the channel is known and unaltered. however, the factual channel is time - varying and not known entirely. so the isi is always existent
在通道特性已知且恆定的情況下，通過精心設計發送和接收濾波器就可以消除碼間干擾和使噪聲的影響最小，但實際通道既不可能完全知道，也不可能恆定不變，系統碼間干擾總是存在。 -
( 2 ) the strong tracking extended kalman filter is extended to a class of nonlinear time - varying stochastic systems with additive combined colored noise
（ 2 ）將強跟蹤擴展卡爾曼濾波器演算法推廣到一類加性復合有色噪聲干擾下的非線性時變隨機系統。 -
In addition, according to the characteristics of wavelet packet transform and that of conjugate quadrature filter bank, we bring forward the ameliorated arithmetic of wavelet packet. the amplitude of time - varying harmonics can be measured accurately through the ameliorated arithmetic
另外我們結合小波包分解和正交鏡像對稱濾波器的特點，提出了小波包的改進演算法，利用該演算法可對時變諧波信號的幅值進行比較精確的分析。 -
This thesis is concerned with fault detection and isolation problem for dynamic systems such as norm - bounded uncertain systems, state - delayed uncertain systems, linear parameter - varying systems with time delays, time - delay systems with markovian jump parameters and nonlinear systems by using fault detection filter, threshold selection method and linear matrix inequalities
本論文研究了動態系統的魯棒故障檢測與分離問題，基於故障檢測濾波器和閾值邏輯方法，採用線性矩陣不等式技術，研究了范數有界不確定系統、時滯不確定系統、時滯lpv系統、時滯馬爾可夫跳躍系統、非線性系統的魯棒故障檢測與分離問題。 -
Aiming to solve this problem, the work of the thesis is shown below : 1. the product ambiguity function ( paf ) - based adaptive time - frequency distribution is proposed. in specific, two adaptive methods for kernel design, the radon - paf based method and the paf - lag - varying filter based method, are presented
本文針對這一問題開展了如下工作: 1 .提出了基於乘積性模糊函數的自適應時頻分佈，並給出了兩種針對線性調頻信號的自適應核函數設計方法，包括基於radon - paf濾波和基於paf時變濾波的方法，使得該時頻分佈能夠在增強時頻聚集性的同時抑制交叉項。 -
The noise suppression uses two methods ? mlms self - adaptive filter arithmetic and blind signal separation. the lung sounds data analysis uses time domain analysis, frequency domain analysis, power spectra analysis, time - varying spectra analysis and so on. healthy people and lung disease patients ’ lung sounds are collected by the system and the data affirms the reliability and practicability of the system
我們利用該系統對正常人和肺病患者的肺音進行了採集和分析，通過這些分析數據，既肯定了該系統的可靠性和實用性，又對各種肺音分析演算法進行了對比和驗證，對該系統的臨床應用打下了良好的基礎。 -
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。 -
Parameter estimation of time - varying structures by the adaptive kalman filter
基於自適應卡爾曼濾波的時變結構參數估計 -
In order to really describe the time - varying feature of the channl, in chapter 7, kaiman filter is used to timely estimate the channl parameters and the performance of power control is improved with consideration of the chaiml parameters estimatd in power control algorithin
為了能夠更好地反映系統內通道的時變特性，在第七章中，採用卡曼濾波的方法來對通道特性進行實時預測估計，並將這一預測的結果應用到功率控制演算法當中，收到了滿意的效果。
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