We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
The power consumption of mixed-signal systems featured by an analog front-end, a digital back-end, and with signal processing tasks that can be computed with multiplications and a...