A robust modeling approach is applied to remove speckle noise in synthetic aperture images. Conventional adaptive filtering approaches in speckle filtering smoothes the image selectively depending on the details of underlying textures, and tend to blur details after speckle removal. In the proposed approach, the image is assumed to be composed of structural and stochastic components, and the st...

In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...

We investigate thermal noise mechanisms and present analytical expressions of the noise power spectral density at high frequencies (HF) in Silicon-on-insulator (SOI) MOSFETs. The developed HF noise model of RF T-gate body contact (TB) SOI MOSFET for 0.13-μm SOI CMOS technology accounts for the mechanisms of 1) channel thermal noise; 2) induced gate noise; 3) substrate resistance noise and 4) ga...

A noise-canceling processor is developed for matched-field processing problems involving a signal buried in noise. This processor is based on modeling both signal and noise and searching the space of unknown parameters to achieve the best agreement between covariances. The noise-canceling processor educes to the Bartlett processor in the limit of high signal-to-noise ratio. The examples illustr...

In this paper a modified version of the Akthar’s method for online secondary path modeling in active noise control systems is proposed. The proposed method defines two variable step sizes for control filter and modeling filter. The control filter step size μm is adapted by using the variable threshold value Tj and the modeling filter step size μm is adapted by using a new modified variable step...

A new noise reduction algorithm HeNLM-LA is proposed. It is a modi cation of the non-local means algorithm using Hermite functions expansion of pixel neighborhoods. The ltering strength parameter is automatically adjusted proportionally to the local noise level. An algorithm for local noise level estimation is based on edge modeling; it suppresses high-amplitude edges in the map of local image ...