In this paper, Haar wavelet-based neural network is described for the identification and control of discrete-time nonlinear dynamical systems. Wavelets are suited to depict functions with local nonlinearities and fast variations because of their intrinsic properties of finite support and self-similarity. Due to the orthonormal properties of Haar wavelet functions, wavelet neural networks result...

In this paper, we develop an accurate and ef£cient Haar wavelet method for well-known FitzHugh-Nagumo equation. The proposed scheme can be used to a wide class of nonlinear reaction-diffusion equations. The power of this manageable method is con£rmed. Moreover the use of Haar wavelets is found to be accurate, simple, fast, ¤exible, convenient, small computation costs and computationally attract...

We introduce a non-standard but, to our opinion natural, order on the initial segments of the Haar system and investigate the isomorphic classiication of the linear span, in L p , of block bases, with respect to this order. 0. Introduction. In DS] it was proved that every unconditional basic sequence fx i g 1 i=1 in L p , 2 < p < 1, which is not equivalent to the natural basis of`p has the prop...

Classification of iris templates based on their texture patterns is one of the most effective methods in iris recognition systems. This paper proposes a novel algorithm for automatic iris classification based on fractal dimensions of Haar wavelet transforms is presented. Fractal dimensions obtained from multiple scale features are used to characterize the textures completely. Haar wavelet is ap...

A recently developed non-linear transform, called ‘Sign Hadamard-Haar transform’ is discussed. The transform is unique and converts ternary vectors into ternary spectral domain. New transform is extremely effective in terms of computational costs when compared with known Sign Walsh transform in application inside ternary communication system.

This paper presents a hardware implementation of face and eyes detection algorithm. To become we must go through several stages. First we have implemented an algorithm for detecting and tracking eyes written in C using an open source library of image processing and computer vision the “OpenCV”. Then a profiling on HW/SW (hardware/software) partition was done. The hardware part solves the part o...