Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
The project deals with the design and realization of a dedicated board DSP-based for the processing of audio signals for automotive applications (DIGIcar). The I/O interface of th...
Alberto Bellini, Eraldo Carpanoni, Giacomo Frassi,...
Abstract -- A general framework for synthesis of asynchronous control circuits at the state graph level is proposed. The framework can consider both concurrency reduction as well a...
Bill Lin, Chantal Ykman-Couvreur, Peter Vanbekberg...