TREVISI , Marco

El muestreo compresivo (CS) es una teoría de muestreo y una alternativa al proceso de muestreo basado en el teorema de Nyquist-Shannon. Mientras que el muestreo convencional aplica la fórmula de interpolación de Whittaker-Shannon para recuperar una señal temporal continua a partir de un conjunto discreto de muestras temporales, CS la reemplaza...

Sensor de imágenes.El objeto de la invención es un sensor de imágenes (100) con muestreo compresivo "on-chip" para la captura, comprensión y transmisión de imágenes completas. Más concretamente, este sensor de imágenes (100) que comprende una matriz de pi

This paper introduces a non-recursive algorithm for motion detection directly from the analysis of compressed samples. The objective of this research is to create an algorithm able to detect, in real-time, the presence of moving objects over a fixed background from a compressive-sampled greyscale video stream. Many difficulties arise using this...

A CMOS image sensor architecture that uses a cellular automaton for the pseudo-random compressive sampling matrix generation is presented. The image sensor employs in-pixel pulse-frequency modulation and column wise pulse counters to produce compressed samples. A common problem of compressive sampling applied to image sensors is that the size...

Compressive sensing (CS) is an alternative to the Shannon limit when the signal to be acquired is known to be sparse or compressible in some domain. Since compressed samples are non-hierarchical packages of information, this acquisition technique can be employed to overcome channel losses and restricted data rates. The quality of the compressed...

Compressive sensing is an alternative to Nyquist-rate sampling when the signal to be acquired is known to be sparse or compressible. A sparse signal has a small number of nonzero components compared to its total length. This property can either exist either in the sampling domain, i. e. time or space, or with respect to a transform basis. There...

In this paper, we present a new image sensor architecture for fast and accurate compressive sensing (CS) of natural images. Measurement matrices usually employed in CS CMOS image sensors are recursive pseudo-random binary matrices. We have proved that the restricted isometry property of these matrices is limited by a low sparsity constant. The...