GHz-range continuous-time programmable digital FIR with power dissipation that automatically adapts to signal activity

2011 ◽  
Author(s):  
Mariya Kurchuk ◽  
Colin Weltin-Wu ◽  
Dominique Morche ◽  
Yannis Tsividis
Keyword(s):  
Continuous Time ◽  
Power Dissipation ◽  
Signal Activity

scholarly journals A High Speed Latched Circuit for Flash ADC

2019 ◽  
Vol 8 (12) ◽  
pp. 3741-3745
Keyword(s):  
Integrated Circuit ◽  
Continuous Time ◽  
Power Dissipation ◽  
High Speed ◽  
Digital Signal ◽  
Time Varying ◽  
Slew Rate ◽  
Digital Signals ◽  
Flash Adc ◽  
Offset Voltage

Practically all electronic systems are realized using integrated circuit(IC) chips. The IC design requires digital signals, but however the physical signals available routinely are either continuous time varying signals or corrupted discrete voltages. These continuous time varying input signals are converted to full voltage swing digital signals by means of a comparator circuit. The comparators use regenerative feedback to transform the output to a full scale digital signal. The core specifications considered in this comparator implementation are power dissipation (PD), propagation delay (tP), output offset voltage and slew rate. The circuit is simulated in CMOS 180nm technology using Tanner EDA tool. The high speed latched comparator circuit is powered with a 1.8V DC power supply and the obtained results show that it operates at 1.67GHz, slew rate is 126 V/µS and the dynamic power dissipation is found to be 0.328mW.

Heavy Tails of Discounted Aggregate Claims in the Continuous-Time Renewal Model

2007 ◽  
Vol 44 (02) ◽  
pp. 285-294 ◽  
Author(s):  
Qihe Tang
Keyword(s):  
Asymptotic Formula ◽  
Continuous Time ◽  
Heavy Tails ◽  
Tail Behavior ◽  
Renewal Model ◽  
Discounted Aggregate Claims ◽  
Aggregate Claims ◽  
Tail Asymptotic

We study the tail behavior of discounted aggregate claims in a continuous-time renewal model. For the case of Pareto-type claims, we establish a tail asymptotic formula, which holds uniformly in time.

Hierarchical Bayesian continuous time dynamic modeling.

2018 ◽  
Vol 23 (4) ◽  
pp. 774-799 ◽  
Author(s):  
Charles C. Driver ◽  
Manuel C. Voelkle
Keyword(s):  
Dynamic Modeling ◽  
Continuous Time ◽  
Hierarchical Bayesian ◽  
Time Dynamic
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