space-time filter 中文意思是什麼
space-time filter
解釋
時空濾波器-
This multi - purpose optical metering system had adopted the twyman - green interferometric system as its center, containing an advanced digital wave surface interferometry and a kind of homodyne interferometer displacement testing method with nanometer - sized capacity. at the same time, many wide - applied metering technology, for example, the diffracted field ( fringe ) measurement, co - focal lens system, optical fiber sensors and 4f ( focal distance ) space filter system which can embody the chief principle of fourier optics well, were combined into it successfully. this instrument can firstly offer and show modern optical testing method in the laboratory for majors of information processing, instrument science, measuring and testing technology and automatic technology
該多功能激光光電實驗系統以泰曼-格林干涉（ twyman - green ）光路作核心，包括先進的數字波面干涉技術和一種基於空間干涉原理的、納米解析度零差干涉儀位移測量方法，同時將多種新穎、工程實用價值高的測量技術和光路如衍射測量、共焦顯微技術、光纖傳感技術以及反映傅立葉光學基本光學原理的4f空間濾波系統也組合進去。 -
This method is an extended application of the time space ( t - x ) domain dip filter combined with the residual migration
為此我們提出一種簡易的海底復反射消除方法。 -
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。 -
A multiuser detection method based on adaptive wavelet network is proposed. this method can effectively eliminate mai and white noise. a novel space - time matched filter combined with adaptive wavelet network in asynchronous multipath cdma channels is proposed
提出了基於自適應子波網路與空時匹配濾波方法，這種方法使用子波網路對陣列天線波束形成之後的輸出進行后續處理，是一種單用戶的檢測方法。 -
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 -
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。 -
Based on the delay - coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low - dimensional chaotic time series
摘要基於混沌動力系統相空間的延遲坐標重構和雙線性表達式，設計了預測混沌時間序列的雙線性自適應預測濾波器。 -
For successfully applying ae on detecting crack during fatigue test, noise restraining, signal locating and the building of ae features database has been deeply investigated in this thesis. in brief, the following are the primary contents : by analyzing the source of noise, several methods of restraining the noise are proposed : space filter, amplitude filter, bp filter, parameters filter, hit time setting and illustrate analysis
本文基於將聲發射技術應用到直升機部件疲勞裂紋檢測中，對噪聲的抑制、聲發射源定位的問題以及聲發射特性典型參數數據庫的構造進行了研究，主要工作如下： ?分析噪聲的來源，對如何抑制環境噪聲進行了研究。 -
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。 -
First, calculating time delay and embedding dimension to reconstruct phase space. second, based on chaos theories, the artificial neural network is used to build one - step and multi - steps predictive model. third, combining with an adaptive filter, predictive error is processed so that weak signal is extracted from strong chaotic noise
研究的內容分為三個方面: （ 1 ）確定嵌入維數和延遲時間重構相空間; （ 2 ）將混沌理論與人工神經網路結合，建立混沌時間序列（混沌背景）的一步與多步預測模型; （ 3 ）結合自適應信號分離器對預測誤差進行處理達到檢測微弱信號的目的。
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