It is presented a robust three dimensional scheme using fuzzy and directional techniques in denoising video color images contaminated by impulsive random noise. This scheme estimates a noise and movement level in local area, detecting edges and fine details in an image video sequence. The proposed approach cares the chromaticity properties in multidimensional and multichannel images. The algori...

Neurons in the primary auditory cortex A1 unitize multidimensional receptive activation fields, which respond to specific frequency bands and timing patterns of the input signal. Such ‚spectro-temporal receptive fields’ (STRF) can experimentally be determined by reverse correlation methods if the activation or output signal patterns of the neurons are known. This seems impossible for neurons in...

genomic signal processing is a relatively new field in bioinformatics, in which signal processing algorithms and methods are used to study functional structures in the dna. an appropriate mapping of the dna sequence into one or more numerical sequences enables the use of many digital signal processing tools in the analysis of different genomic sequences. also, a novel influenza a (h1n1) virus o...

Multimedia signal processing (MMSP) refers to of signals from multiple media—speech, audio, images, text, graphics, point clouds, etc.—often jointly. This article reviews the history MMSP and, in parallel, Technical Committee (TC), with a focus on last three decades ( Figure...

We consider three-dimensional sinusoidal frequency model in a random field. Three-dimensional frequency model has wide applications in statistical signal processing. In this article, we mainly consider the usual least squares estimators and the estimators that can be obtained by maximizing the periodogram function. We obtain consistency and asymptotic normality property of both the estimators. ...

Array-OL specification model is a mixed graphical-textual language designed to model multidimensional intensive signal processing applications. Data and task parallelism are specified directly in the model. High level transformations are defined on this model, allowing the refactoring of an application and furthermore providing directions for optimization. The resemblances between with the wide...

In this paper, we propose a unified model for indexing and retrieving multimedia data using characteristic features and multiresolution processing. All multimedia data types, such as audio and video, are represented as a k-dimensional signal in a spatio-temporal domain [3]. A k-dimensional signal is transformed into characteristic features and these features are stored in a hierarchical multidi...

Recently, the multiscale signal and image processing community has recognized that a suitable model for multiresolution processes is a model with time-like variable indexed by the nodes on a homogeneous tree with different depths in the tree corresponding to different spatial scales associated with the signal or image. It turns out that these system models are close relatives of the Structured ...