least square error Wiener㎏olmogorov filtersWiener filter infiniteヾuration impulse response (IIR) or finiteヾuration impulse response (FIR) filterWiener filter error signalmean square error surface for two‐tap FIR filterQR decomposition (QRD) methodGram–Schmidt orthogonalisation method...
在Kalman的A New Approach to Linear Filtering and Prediction Problems中,提到了Wiener对于随机信号滤波与预测的工作。其中包括Wiener-Hopf积分方程以及在某种条件下该方程的求解方法。 下面的补充内容,来自Wi…
状态估计Wiener滤波Kalman滤波时域方法Based on the steady-state Kalman filter and projection theory,a new unified and general approach to the time-domain Wiener state filtering is presented,by which the asymptotically stable Wiener state estimator and decoupled Wiener state estimators are presented for ...
Firstly, input images are decomposed into base layers and detail layers using the IRGF and Wiener filter. Secondly, the visual saliency maps of the input image are computed by pixel-level saliency value, and the weight maps of detail layers are constructed by max-absolute strategy and are ...
By using the Kalman filtering method and the linear minimum variance optimal fusion rule weighted by matrices,a multisensor information fusion Wiener filter is presented for the multichannel autoregressive moving average(ARMA) signals with white observat
We present a new patch-based image restoration algorithm using an adaptive Wiener filter (AWF) with a novel spatial-domain multi-patch correlation model. The new filter structure is referred to as a collaborative adaptive Wiener filter (CAWF). The CAWF e
filtering in 1-D signal model of ASP can be represented as a multiplication of polynomials (filter h(x) and signal s(x)) modulo p(x) for h∈A and x∈M, where A, M represent an algebra vector space of the filter space and a module of the signal space corresponding to linear signal...
In Section 3, we focus on developing sufficient conditions on stochastic admissibility and the design of a H∞ filter such that the stochastic admissibility is assured, even if the discrete-time singular Markov jump time-varying delay system incorporates unknown transition probabilities and Wiener ...
MÜNCHEN•10.JAHRGANG19 6 2 SEITE193-240Dr.-Ing.HANSSARTORIUSHEFTSOptimaleDimensionierungeinesFolgereglersnachdemWiener'schenKriteriumVonH.SCHLITT,HannoverIn denEmpfangsanlagenvonSatellHenstationenverwendetmanheuteanbestimmtenStellensogenanntedynamischeFilter,dieinderLagesind,dendurchdenDopplereffektverursa...
Targeted debugging of specific suspected “sore spots” in the code (rather than having to filter out a lot of insignificant data generated by “mere” debuggers). Probes can be tactically or strategically targeted, whereas general purpose debuggers dump a lot of data and the developer has to...