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In a context of the end of Moore's law, energy dissipation constitutes a real challenge. Among the new energy efficient paradigms for data processing, bio-inspired computing is very promising, moreover introducing cognitive characteristics. As applications at very high scale are addressed, the size and energy dissipation of both the neuron and synapse cells needs to be minimized. In this context,...
This work proposes an experimental demonstration of the stochastic resonance, a phenomenon widely observed in biology using a 65 nm CMOS artificial neuron. The stochastic resonance has been revealed through two different statistical studies. Moreover, when optimal, a signal to noise ratio at the output of the artificial neuron of 22.4 dB is achieved, for an ultra low power consumption, lower than...
This paper discusses the design and characterization of a programmable digital delay line. The core of the proposed architecture is a thyristor-type delay element featuring the capability for coarse/fine tuning without using any additional hardware. This is made possible by taking advantage of body biasing features available in 28nm FDSOI CMOS. Body biasing offers unique performance characteristics,...
Estimation of time-varying channels is a common challenge for receiver architectures in wireless communications. Coherent receivers may require good knowledge of the channel impulse response for demodulation of the received symbols, after equalization of a dense multipath channel. However, very few methods for single-band transmission can offer a very fast estimation process that avoids using digital...
The design of a baseband decision feedback equalizer, featuring a continuous-time digital delay line, is discussed within the context of a wireless, Line-Of-Sight, communication scenario over the 60-GHz band. BER simulations advocate for a critical-tap cancellation scheme, which leads to the realization of an equalizer featuring a small number of taps. A two-step configurable architecture is suggested...
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