doi:10.1016/0016-0032(59)90191-7NoneELSEVIERJournal of the Franklin Institute
Our numerical experimental results show that the proposed VFGWF method has higher SSNR and PESQ than that of the classical Wiener filtering method of DSP, as well as the existed graph Wiener filtering methods in GSP. These stimulation results also verify the validity of our designed multilayer gra...
This chapter summarises the book's objective to develop the theory of contestation by highlighting the interrelation between contestation as a norm-generative practice and contestedness as a meta-organising principle of global governance. It highlights the central claim that by understanding contestation ...
The rank detection scheme is also threshold-based, where two threshold selection methods are proposed. In the first method, the threshold parameter and the shrinkage parameter are jointly optimized for each channel realiza- tion to minimize a Stein unbiased risk estimate (SURE) of the MSE of the...
In this way, basic facts of Hopf equation (which applies also to nonstationary problems the Wiener theory are quickly obtained; the scope of the results whereas the preceding methods in general don’t), has been and the fundamental assumptions appear clearly. It is seen that all pioneered by...
This is a standard trick in the engineering applications of the Wiener theory [2–7]. The approach taken here differs from the conventional one only in the way in which linear dynamic systems are described. We shall emphasize the concepts of state and state transition; in other words...
The discussion is largely self-contained and proceeds from first principles; basic concepts of the theory of random processes are reviewed in the Appendix. Present methods for solving the Wiener problem are subject to a number of limitations which seriously curtail their practical class of theoretical...
Some nonlinear systems possess innate capabilities of enhancing weak signal transmissions through a unique process called Stochastic Resonance (SR). However, existing SR mechanism suffers limited signal enhancement from inappropriate entraining signals.
According to classical Wiener filtering theory [22], the optimal MMSE linear interpolation coefficients are given by (2) where and are the local covariances at the high resolution (we call them ”high-resolution covariances” throughout this paper). For ex- ample, is defined by , as shown in...
[1 ] Kushner H J Approximation and Weak Convergence Methods for Ran- dom Processes with Applications to Stochastic System Theory[M] UK:MIT Press,Cambridge,Mass 1984 [2 ] Ozeki K,Umeda T An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties[...