This paper presents a reconstruction of missing textures based on error reduction algorithm using fourier transform magnitude estimation method. In this method fourier transform magnitude is estimated for a target patch including missing areas, and the missing intensities are estimated by retrieving its phase based on error reduction algorithm. In this method the errors are monitoring in the er...

When designing curves on surfaces the need arises to approximate a given noisy target shape by a smooth fitting shape. We discuss the problem of fitting a B-spline curve to a point cloud by squared distance minimization in the case that both, the point cloud and the fitting curve, are constrained to lie on a smooth manifold. The on-manifold constraint is included by using the first fundamental ...

Conventional wavelength modulation spectroscopy (WMS) is vulnerable to the influence of low-frequency noise. Accuracy method highly depends on performance costly lock-in amplifier. In this article, we report a new and effective for reconstructing second-harmonic signals through WMS based fast Fourier transform (FFT). This less disturbed by noise because it does not use ramp wave. Formulation de...

Traditional direction of arrival (DOA) estimation methods wideband linear frequency modulated (LFM) signal based on the fractional Fourier transform (FRFT) highly depend peak value LFM in FRFT domain. However, can be affected by various factors, such as a low signal-to-noise ratio (SNR), small number snapshots, or large incident angle signals, which lead to decrease DOA accuracy. To tackle this...

Visual pattern recognition is a basic capability of many species in nature. The skill of visually recognizing and distinguishing different objects in the surrounding environment gives rise to the development of sensory-motor maps in the brain, with the consequent capability of object reaching and manipulation. This paper presents the implementation of a real-time tracking algorithm for followin...

An adaptive wavelet packet transform (AWPT) algorithm is proposed to process synthetic aperture radar (SAR) imagery and remove background clutters from target images. Since target features are more efficiently represented using the wavelet packet bases, higher signal-to-clutter ratios (SCR) can be achieved in the wavelet transform domain. Consequently, clutters can be more effectively separated...