This paper deals with a hybrid active power filter with injection circuit (IHAPF). This paper concluded that the stability of the IHAPF based on detection supply current is superior to that of others. To minimize the capacity of IHAPF, an adaptive fuzzy dividing frequency-control method,.The generalized integrator is used for dividing frequency integral control, while fuzzy arithmetic is used f...

Correlation functions (CFs) associated with the inverse background-error correlations (iBECs) represented by polynomials of the diffusion operator D are obtained analytically for the binomial approximations of the Gaussian BEC and in the general case of a quadratic polynomial of D. The respective analytical expressions for one-, twoand three-dimensional cases have two tuning parameters, which p...

This paper deals with a hybrid active power filter with injection circuit (IHAPF). This paper concluded that the stability of the IHAPF based on detection supply current is superior to that of others. To minimize the capacity of IHAPF, an adaptive fuzzy dividing frequency-control method,.The generalized integrator is used for dividing frequency integral control, while fuzzy arithmetic is used f...

In this paper a universal nth order current-mode filter employing electronically tunable second-generation current conveyors (ECCIIs) and grounded passive elements is proposed. Since the current gain of the ECCII can be controlled electronically by adjusting the ratio of DC bias currents, it is possible to tune all the coefficients of the transfer function independently through the variable cur...

We present a tree-structured architecture for supervised learning. The statistical model underlying the architecture is a hierarchical mixture model in which both the mixture coefficients and the mixture components are generalized linear models (GLIM’s). Learning is treated as a maximum likelihood problem; in particular, we present an Expectation-Maximization (EM) algorithm for adjusting the pa...

In order to achieve the best filtering performance and make the filter automatically adjust its coefficients with the changing of its working environment, we need to use adaptive filter technique. To overcome the contradiction of traditional LMS algorithm between convergence speed, convergence accuracy and the selection of step-size, a novel variable step-size & variable parameters adaptive fil...

EZW, a wavelet transformation based compression algorithm, utilizes the correlations of the wavelet coefficients between subbands. Due to the reason that, it is based on Zero Tree’s parent-descendant dependency of the subbands, subband coding is possible, but it is not efficient for applications, which require multiresolution restorations. In this paper we compare and analyze the performance be...

We propose new planar X-junctions and multi-port devices written by spatial solitons, which are composed of two (or more) nonlinearly coupled components in Kerrtype media. Such devices have no radiation losses at a given wavelength. We demonstrate that, for the same relative angle between the channels of the X-junctions, one can vary the transmission coefficients into the output channels by adj...

In this paper, we discuss a possible generalization of the social influences Langevin equation. Using functional method Kramers–Moyal expansion coefficients, prove simple rule for corresponding Fokker–Planck equation generalized one-dimensional system driven by associated Gaussian noise. We propose here nonequilibrium behavior probability density and currents induced different combinations para...

Inferring causal treatment effects in the presence of possible omitted variable bias is as well-known problem. Altonji, Elder and Taber (2005) suggest that the degree of selection on observable variables might be used as a guide to the remaining bias in controlled regressions. I expand on their setup and demonstrate how, with an equal selection assumption, a causal effect can be recovered using...