ESL Based SoC System Bandwidth Estimation Method

Author(s):  
Zhen Xie ◽  
Xinning Liu ◽  
Weiwei Shan ◽  
Wei Ge
2018 ◽  
Vol 66 (3) ◽  
pp. 1319-1327 ◽  
Author(s):  
Jorge Julian Moreno Rubio ◽  
Vittorio Camarchia ◽  
Marco Pirola ◽  
Roberto Quaglia

1996 ◽  
Vol 26 (7) ◽  
pp. 1228-1236 ◽  
Author(s):  
Kim Dralle ◽  
Mats Rudemo

A digitized aerial panchromatic photo of a thinning experiment in pure even-aged Norway spruce (Piceaabies (L.) Karst.) is smoothed by a two-dimensional isotropic Gaussian kernel. The number of stems per hectare is estimated from the number of maxima above a certain level of the smoothed image. For the crucial kernel bandwidth estimation problem we suggest a two-step procedure where the first step consists of computing (for each homogeneous stand (or subplot)) an "internal curve" corresponding to the number of maxima at a series of bandwidths. The estimated stem number and the optimal bandwidth is then obtained as the crossing of the internal curve with an "external curve," here assumed to be of a simple parametric form. If a series of stands (or subplots) with different known stem numbers is available, the external curve can be estimated by use of a nonlinear regression method. An experiment with 48-year-old trees and six subplots with varying thinning treatments is analyzed. The stem number estimation method, checked by cross validation, performs satisfactorily for all thinning grades except the unthinned control.


2010 ◽  
Vol 19 (03) ◽  
pp. 683-687
Author(s):  
TODD A. WEY

A new bandwidth estimation method based on the application of Miller theorem to single and multistage common source amplifiers is presented. This new method provides more accurate bandwidth estimation and circuit design insight than the traditional Miller, Elmore and open circuit time constant approaches.


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