The present work documents the design and implementation of a wavelet-based excitation algorithm for low sample-rate audio files. This algorithm is an analysis/resynthesis method which converts a low sample-rate audio file to a higher sample-rate audio file, while inserting high frequency content in the wavelet domain. This paper presents relevant wavelet theory, along with the theory of the ex...

A blind approach to evaluate the perceptual sharpness present in a natural image is proposed. Though the existing literature demonstrates a set of variegated visual cues to detect or evaluate the absence or presence of sharpness, we emphasize in the current work that high frequency content and local standard deviation can form strong features to compute perceived sharpness in any natural image,...

The attention on Radio Frequency Identification (RFID), Mobile Business and Mobile Content has recently attracted in various industry sectors, the media and in academic research. This article focuses on the convergence of RFID technologies and mobile devices and presents applications in the retail business. Based on related literature and existing models and technologies, a business framework a...

Recent work in text analysis commonly describes topics in terms of their most frequent words, but the exclusivity of words to topics is equally important for communicating content. We introduce Hierarchical Poisson Convolution (HPC), a model which infers regularized estimates of the differential use of words across topics as well as their frequency within topics. HPC uses known hierarchical str...

This study developed a novel method for analyzing and decomposing signal into its main dynamics small large timescales. Our proposal is based on decoupled hybrid system of convolutional recurrent neural networks that uses as inputs the power spectrum spectrogram given signal, giving output dynamic behavior. We define classification predicted using previously known characterized through training...

Tagging the environment gives users the possibility to explicitly construct and define parts of their spacial context. The tags assigned to RFIDidentified objects in the environment can be used to enrich formalized domainspecific context-models with user generated keywords to take communityand user-generated meanings into account. These references in space help to navigate information and servi...