In this study, a new algorithm is proposed—Asynchronous Averaging and Filtering (AAF) for ECG signal de-noising. R-peaks are detected with another proposed algorithm—Minimum Slot and Maximum Point selecting method (MSMP). AAF algorithm reduces random noise (major component of EMG noise) from ECG signal and provides comparatively good results for baseline wander noise cancellation. Signal to noi...

In this note we cast parametrization of certain type of covariance extension problems in polynomial model. We show that the Kimura form of state space realization for maximum entropy solution to Carathéodory’s extension problem is Riccati balanced parametrization. As an application we provide a heuristic algorithm for finding solutions to minimum-phase spectral factor with poles and zeros, give...

Tree crown recognition with high spatial resolution remotely sensed imagery provides useful information relating the number and distribution of trees in a forest. A common technique used to identify tree locations uses a local maximum (LM) filter with a static-sized (user-specified) moving window. LM techniques operate on the assumption that high local radiance values represent the centroid of ...

We propose algorithms for filtering real-valued images, when the filter is provided as a continuous function defined in the Nyquist frequency domain. This problem is ambiguous because images are discrete entities and there is no unique way to define the filtering. We provide a theoretical framework designed to analyse the classical and computationally efficient filtering implementations based o...

In this paper a novel algorithm for Gaussian noise estimation and removal is proposed by using 3x3 sub windows in which the test pixel appears. The standard deviation(STD) for all sub-windows are used to define reference STD(σref )and minimum(σmin) and maximum (σmax ) standard deviations. The average STD (σavg ) is then calculated as the average of those STDs of all sub-windows whose STD falls ...