We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
Several analog-to-digital conversion methods for bandlimited signals used in applications, such as quantization schemes, employ coarse quantization coupled with oversampling. The...
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
We present the basic high-level structures used for developing quantum programming languages. The presented structures are commonly used in many existing quantum programming langua...
P. Gawron, Jerzy Klamka, J. A. Miszczak, Ryszard W...