A 2-GS/s 200-MHz BW Oversampling Continuous-Time Pipeline ADC with Adaptive Digital Filter in 28nm

2021 ◽  
Author(s):  
Liran Dong ◽  
Yujun Shu ◽  
Yongzhen Chen ◽  
Jiangfeng Wu
Keyword(s):  
Digital Filter ◽  
Continuous Time ◽  
Pipeline Adc

A continuous-time input pipeline ADC with inherent anti-alias filtering

2009 ◽  
Author(s):  
David Gubbins ◽  
Sunwoo Kwon ◽  
Bumha Lee ◽  
Pavan Kumar Hanumolu ◽  
Un-Ku Moon
Keyword(s):  
Continuous Time ◽  
Pipeline Adc

16.2 A 9GS/s 1GHz-BW oversampled continuous-time pipeline ADC achieving −161dBFS/Hz NSD

2017 ◽  
Author(s):  
Hajime Shibata ◽  
Victor Kozlov ◽  
Zexi Ji ◽  
Asha Ganesan ◽  
Haiyang Zhu ◽  
...  
Keyword(s):  
Continuous Time ◽  
Pipeline Adc

A 9-GS/s 1.125-GHz BW Oversampling Continuous-Time Pipeline ADC Achieving −164-dBFS/Hz NSD

2017 ◽  
Vol 52 (12) ◽  
pp. 3219-3234 ◽  
Author(s):  
Hajime Shibata ◽  
Victor Kozlov ◽  
Zexi Ji ◽  
Asha Ganesan ◽  
Haiyang Zhu ◽  
...  
Keyword(s):  
Continuous Time ◽  
Pipeline Adc

A continuous-time input pipeline ADC

2008 ◽  
Author(s):  
David Gubbins ◽  
Bumha Lee ◽  
Pavan Kumar Hanumolu ◽  
Un-Ku Moon
Keyword(s):  
Continuous Time ◽  
Pipeline Adc

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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