Spontaneous branching of discharge channels is frequently observed, but not well understood. We recently proposed a new branching mechanism based on simulations of a simple continuous discharge model in high fields. We here present analytical results for such streamers in the Lozansky-Firsov limit where they can be modeled as moving equipotential ionization fronts. This model can be analyzed by...

While optical character recognition is field where machine learning algorithms are easily applied, it might not always be cost effective to do so. While Viola and Jones explored Haar features in their face detection algorithm, selecting from the thousands of features is quite time consuming. This paper compares their feature set with a baseline of pixel learners as well as another set of Haar f...

A non-linear transform, called ‘‘sign Haar transform’’ has recently been introduced. The transform is unique and converts binary/ternary vectors into ternary spectral domain. Recursive definitions for the calculation of sign Haar transform are developed. Essential properties of logic functions and variables in the spectral domain of a quantized transform based on Haar functions are presented. S...

This paper presents various algorithms for motion detection, object classification, object tracking and action recognition. It is an essential benchmark in the fields of video surveillance, traffic monitoring, border security etc. A novel approach is presented for detecting vehicles and pedestrians based on haar features. Haar feature value is calculated by using the rectangle integral, each re...

The tenacity of this paper is logical investigation of prevailing ANPR system research by cataloguing existing methods analyzing and equate old and new techniques. Automatic number plate recognition is a technique to read character from image and isolate number using various processes and practices. Automatic number plate credit is a image processing techniques. In this paper we used efficient ...

A new computational method based on Haar wavelets is proposed for solving multidimensional stochastic Itô-Volterra integral equations. The block pulse functions and their relations to Haar wavelets are employed to derive a general procedure for forming stochastic operational matrix of Haar wavelets. Then, Haar wavelets basis along with their stochastic operational matrix are used to approximate...

Generalized Haar wavelets were introduced in connection with the problem of detecting specific periodic components in noisy signals. John Benedetto and I showed that the non–normalized continuous wavelet transform of a periodic function taken with respect to a generalized Haar wavelet is periodic in time as well as in scale, and that generalized Haar wavelets are the only bounded functions with...