Focusing on polygenic signal detection in high-dimensional genetic association studies of complex traits, we develop a stable and adaptive test for generalized linear models to accommodate different alternatives. To facilitate valid post-selection inference data, our study here adheres the original sample-splitting principle but does so repeatedly increase stability inference. We show asymptoti...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

in this paper, we examine target detection in the surveillance channels of fm-based passive bistatic radars (fbpbrs) in the presence of interference signals in the reference channels of these systems. to do so, we propose a new signal conditioning algorithm to remove interference signals form reference channel. simulation results show that the proposed signal conditioning algorithm outperform t...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

We propose a blind multiuser detection technique for array processing and code division multiple access (CDMA) systems that does not require knowledge of the array geometry or transmitter signature sequences. The technique has two key elements: an adaptive algorithm for separating the signal subspace from the noise subspace and an adaptive whitener based on linear prediction. The proposed algor...

This paper proposes a new approach for transients detection, specifically for faults-induced transients of common and high impedance faults. The approach is based on the DQtransformation with an adaptive filtering technique in order to generate a detection signal. Transients detection is made by means of a mathematical algorithm which is self-adaptive to the noise level of the detection signal....

Infrared target detection research has recently attracted much attention, especially in pedestrian detection. In this paper, we use compressive sensing theory, a new and emerging field, for an infrared target detection system. Based on the framework of Bayesian filter, target is expressed by sparse representation. Compressive sensing (CS) is based on the illusion that a small quantity of non-ad...