Due to the communication delays and the time differences in the fusion systems, there exists the asynchronous multisensor information fusion problem instead of the synchronous one. Firstly the continuous-time system is discretized in the fusion center and all the sensor nodes with different sample intervals, then it is found that the measurement noises are correlated with each other and also co...

One of the main problem in biomedical data processing like electrocardiography is the separation of the wanted signal from noises caused by power line interference, external electromagnetic fields and random body movements and respiration. Different types of digital filters are used to remove signal components from unwanted frequency ranges. It is difficult to apply filters with fixed coefficie...

The denoising of images is novel techniques used in the various multimedia devices which offers post correction in captured images. For example Digital Cameras, Scanners, Mobiles etc. The main reason to research on such techniques is outdoor conditions are not in our control e.g. temperature, weather, moisture and air, which are the major causes of noises in the images captured. These different...

Noises: a nonstandard analysis. Thanks to the nonstandard formalization of fast oscillating functions, due to P. Cartier and Y. Perrin, an appropriate mathematical framework is derived for new non-asymptotic estimation techniques, which do not necessitate any statistical analysis of the noises corrupting any sensor. Various applications are deduced for multiplicative noises, for the length of t...

Escape of an overdamped particle driven by two correlated dichotomic noises (DN) from a triangle potential well is studied. A general description of statistical properties of the noises is developed in terms of master equation and correlation functions. Using the kinetics of these noises, an equation for the mean first-passage times can be deduced, which enables us to investigate the impact of ...

Background environmental noises degrade the performance of speech-processing systems (e.g. speech coding, speech recognition). By modifying the processing according to the type of background noise, the performance can be enhanced. This requires noise classification. In this work, four pattern-recognition frameworks have been used to design noise classification algorithms. Classification is done...

On the basis of noises recorded in trains, this article presents circular errors rates obtained by two possible paired comparison methods. The first one allows listeners to answer that two noises in a pair are equally annoying, while the second one forces them to select one of the sounds. It is shown that the latter can lead to very high number of circular errors when perceptual differences bet...