Rapid evaluation and design space exploration at the algorithmic level are important issues in the design cycle. In this paper we propose an original area vs delay estimation meth...
Sebastien Bilavarn, Guy Gogniat, Jean Luc Philippe...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
We present an algorithmic analog-to-digital converter (ADC) architecture for large-scale parallel quantization of internally analog variables in externally digital array processor...
A new theoretical approach for designing a low-noise amplifier (LNA) for the ultra-wideband (UWB) radio is presented. Unlike narrowband systems, the use of the noise figure (NF) p...
In this paper, we propose a fast pipeline VLSI architecture for 1D lifting-based discrete wavelet transform (DWT). This design method merges the filtering steps called the predict...