| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4976565 | Journal of the Franklin Institute | 2006 | 26 Pages |
Abstract
As a further study, the newly proposed sets have been applied to the analysis of dynamic systems to prove the fact that it introduces less mean integral squared error (MISE) than the staircase solution obtained from BPF domain analysis, without any extra computational burden. Finally, a detailed study of the representational error has been made to estimate the upper bound of the MISE for the TF approximation of a function f(t) of Lebesgue measure.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Anish Deb, Anindita Dasgupta, Gautam Sarkar,