Solar cell is known as a sustainable and environment friendly source of energy in nature. It converts sunlight directly into electricity with zero emission and also without side-effects on the environment. But, solar cells have optical and mechanical defects which include the type of micro crack, the size of crack, and the noise from electrical or electromechanical interference during the image...

When resampling a digital image by uniform cubic B-splines, an output pixel is computed from a filter applied to 16 neighboring pixels of the original image or more precisely of some auxiliary matrix C. Matrix C is computed with a computational time proportional to the number of pixels of the image to be resampled; that time is substantially smaller than the computational time of the filtering ...

In this work, coding performances are analyzed for filter banks obtained from inversion of Block Wavelet Transforms (BWT) that match to specific Karhunen–Loeve Transforms (KLT). BWTs are orthogonal matrix transforms that can be obtained from orthogonal subband filter banks. Although the construction methodology of BWT is clear, the reverse operation was not researched. Here, the filters of the ...

Motivation. Correlation filter based tracking has attracted many researchers’ attention in recent years for high efficiency and robustness. Most existing works [1, 2, 4] focus on exploiting different characteristics with correlation filters for visual tracking, e.g., circulant structure, kernel trick, effective feature representation and context information. Despite its good performance, most o...

In 2015, Barber and Candès introduced a new variable selection procedure called the knockoff filter to control the false discovery rate (FDR) and prove that this method achieves exact FDR control. Inspired by the work of Barber and Candès (2015), we propose and analyze a pseudoknockoff filter that inherits some advantages of the original knockoff filter and has more flexibility in constructing ...

− In this paper a development of an adaptive Kalman filter through a fuzzy inference system (FIS) is outlined. The adaptation is concerned with the imposition of conditions under which the filter measurement noise covariance matrix R or the process noise covariance matrix Q are estimated. The adaptive adjustment is carried out using a FIS based on the whiteness of the filter innovation sequence...

A matrix approach is proposed for determining the coefficients of maximally flat (m.f.) FIR filter transfer functions expressed in terms of cosine of multiple angles. In this, a transformation matrix maps a functional vector, the entries of which are either 0 or 1, into the coefficient vector of the m.f. filter transfer function. It is shown that the transformation matrix could be generated eit...

A range of techniques was used to search for the fittest filter to remove noise from data from a blood flow measurement system. Filter types considered included finite impulse response (FIR), RC (exponential), a generalized FIR form, and stack filters. Techniques used to choose individual filters were heuristic, the genetic algorithm, and genetic programming. The efficacy of filters was assesse...

This article presents a new subspace-based technique for reducing the noise of signals in time-series. In the proposed approach, the signal is initially represented as a data matrix. Then using Singular Value Decomposition (SVD), noisy data matrix is divided into signal subspace and noise subspace. In this subspace division, each derivative of the singular values with respect to rank order is u...