|
|
|
|
|
Zuoqin Zhao, Yufei Nai, Zhiguo Yu, Xin Xu, Xiaoyang Cao and Xiaofeng Gu
Compressed Sensing (CS) has been applied to electrocardiogram monitoring in wireless sensor networks, but existing sampling and compression circuits consume too much hardware. This paper proposes a low-power and small-area sampling and compression circui...
ver más
|
|
|
|
|
|
|
|
|
Holger Boche, Yannik N. Böck, Ullrich J. Mönich and Frank H. P. Fitzek
This article compares two methods of algorithmically processing bandlimited time-continuous signals in light of the general problem of finding ?suitable? representations of analog information on digital hardware. Albeit abstract, we argue that this probl...
ver más
|
|
|
|
|
|
|
|
|
Dorian Florescu and Daniel Coca
Digital filtering is a fundamental technique in digital signal processing, which operates on a digital sequence without any information on how the sequence was generated. This paper proposes a methodology for designing the equivalent of digital filtering...
ver más
|
|
|
|
|
|
|
|
|
Anna Richelli, Paolo Faustini, Andrea Rosa and Luigi Colalongo
Digital-based differential amplifiers (DDA) are particularly suitable to low voltage digital integrated circuit technologies. This paper presents an exhaustive analysis of digital-based analog amplifiers to take advantage of today?s high-performance digi...
ver más
|
|
|
|
|
|
|
|
|
Jeff Dix, Jeremy Holleman and Benjamin J. Blalock
A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that offers the user the capability to create an MLP neural network hardware design within the available ...
ver más
|
|
|
|