Non local-means filter uses all the possible self-predictions and self-similarities the image can provide to determine the pixel weights for filtering the noisy image, with the assumption that the image contains an extensive amount of self-similarity. As the pixels are highly correlated and the noise is typically independently and identically distributed, averaging of these pixels results in no...

This paper studies the multitarget tracking problem based on an asynchronous network of sensors with different sampling rates, where each sensor runs a cardinalized probability hypothesis density (CPHD) filter. To fuse filter estimates obtained at conditioned measurements, arithmetic averaging approach is recursively carried out in timely manner according to network-wide time sequence. The inte...

This letter addresses the use of Sentinel-1 time series with aim proposing an automatic and unsupervised coastline detection method that averages dynamical variations coastal areas over a limited period time, e.g., one year. First, we propose applying temporal averaging filter allows in areas, due to tides or vegetation, be encapsulated, and, at same speckle reduced, without decreasing spatial ...

The temporal response of cone inputs to macaque retinal ganglion cells were compared with cone-specific sinusoidal modulation used to isolate each cone type. For all cell types of the parvocellular (PC) pathway, temporal responsivity was similar for short (S)-, middle (M)-, and long (L)-wavelength-sensitive cone inputs, apart from small latency differences between inputs to center and surround....

Temporal filtering of fMRI images is an important part of the process of preparing the data for clinical examination. We are able to reduce noise accumulated from both exogenous and intrinsic sources during scanning by applying a filter to the time series. This paper summarizes the testing methods and results found from the evaluation of linear and non-linear temporal filtering methods used in ...

Traditional spatial-temporal adaptive signal processing techniques are often applied to conduct narrowband and wideband interferences. However, its mitigation performance degrades greatly due to mutual coupling. To solve this problem, this paper aims to utilize a spatial-temporal self-tuning synthesis filter capable of mutual coupling compensation and interference mitigation. The spatial filter...

When visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as well as their temporal filtering characteristics. The latter has classically been described by contrast-induced gain changes that depend on temporal frequency. Here, we explored a new perspective on contrast-induced changes in temporal filtering by using spike-triggered covariance analysis to extract mu...

Although the delta and RASTA methods have been widely used in extracting the temporal properties of stationary features for robust speech recognition, there is still a need to investigate new temporal features for better performance. In this paper, we present two new temporal features for robust processing of speech signals with emphasis on microphone variations. First, the temporal feature is ...

In this paper, a new algorithm for fingerprint recognition is presented. It is called the Histogram-Partitioning, Median-Filtering Fingerprint Recognition Algorithm (HMFA). The performance of the algorithm is tested through ensemble averaging of the mean square error. It is applied on different fingerprints having various backgrounds, resolutions and dimensions. Initially, a database is formed ...