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Ponencia
On the design of a sparsifying dictionary for compressive image feature extraction
(Institute of Electrical and Electronics Engineers, 2015)
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. ...
Ponencia
1D Cellular Automata for Pulse Width Modulated Compressive Sampling CMOS Image Sensors
(Institute of Electrical and Electronics Engineers, 2018)
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, ...
Ponencia
Compressive image sensor architecture with on-chip measurement matrix generation
(Institute of Electrical and Electronics Engineers, 2017)
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 ...
Ponencia
Non-recursive method for motion detection from a compressive-sampled video stream
(Institute of Electrical and Electronics Engineers, 2016)
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 ...