KERNEL-BASED NOISE FILTERING OF NEUTRON DETECTOR SIGNALS

A Laplacian based image filtering using switching noise detector

This paper presents a Laplacian-based image filtering method. Using a local noise estimator function in an energy functional minimizing scheme we show that Laplacian that has been known as an edge detection function can be used for noise removal applications. The algorithm can be implemented on a 3x3 window and easily tuned by number of iterations. Image denoising is simplified to the reduction...

Adaptive Filtering Strategy to Remove Noise from ECG Signals Using Wavelet Transform and Deep Learning

Introduction: Electrocardiogram (ECG) is a method to measure the electrical activity of the heart which is performed by placing electrodes on the surface of the body. Physicians use observation tools to detect and diagnose heart diseases, the same is performed on ECG signals by cardiologists. In particular, heart diseases are recognized by examining the graphic representation of heart signals w...

Morphological Detector for Multilevel Signals in - Noise

The novel approach was developed for multilevel signal detection in channels with impulsive nonGaussian noise. This approach consists of using morphological nonlinear image filtration principles for two dimensional signals. It is a new method of signal demodulation, using three dimensional image processing algorithms. Successful results of this morphologic detector encourage more investigation ...

Adaptive Filtering Strategy to Remove Noise from ECG Signals Using Wavelet Transform and Deep Learning

Introduction: Electrocardiogram (ECG) is a method to measure the electrical activity of the heart which is performed by placing electrodes on the surface of the body. Physicians use observation tools to detect and diagnose heart diseases, the same is performed on ECG signals by cardiologists. In particular, heart diseases are recognized by examining the graphic representation of heart signals w...

Amorphous Silicon Based Neutron Detector