Name
Abstract | ||
|---|---|---|
Adaptive filters have been traditionally developed in a digital environment which involves a large number of computations to derive the coefficients of the desired approximation. Most of the time, these calculations required a machine of great capacity and that is not practical for some applications like channel equalization in cellular systems. This paper proposes a continuous-time adaptive filter which is based on representing the impulse response of an adaptive filter as a linear combination of a set of orthogonal exponentials. An important practical advantage is that if a satisfactory representation can be obtained by exponentials simple filter structures can be synthesized. An analog adaptive filter structure that improve the time convergence of conventional realizations using a continuos time LMS algorithm to reduce the error between the reference system and the adaptive filter is shown. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICASSP.1995.480417 | ICASSP |
Keywords | Field | DocType |
continuous-time adaptive filter,time convergence,continuous-time adaptive filter structure,analog adaptive filter structure,important practical advantage,conventional realization,channel equalization,exponentials simple filter structure,continuos time lms algorithm,adaptive filter,cellular system,coefficients,transfer functions,bandwidth,convergence,impulse response,approximation,least squares approximation,adaptive signal processing,computational complexity,digital signal processing,adaptive filters,lms algorithm,transient response | Mathematical optimization,Active filter,Digital filter,Computer science,Control theory,Adaptive filter,Kernel adaptive filter,Multidelay block frequency domain adaptive filter,Recursive least squares filter,Voltage-controlled filter,Filter design | Conference |
ISBN | Citations | PageRank |
0-7803-2431-5 | 4 | 0.58 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Ortiz-Balbuena | 1 | 5 | 1.21 |
| A. Martinez-Gonzalez | 2 | 5 | 1.21 |
| Hector Perez-Meana | 3 | 134 | 23.60 |
| L. Nino de Rivera | 4 | 5 | 1.21 |
| J. Ramirez-Angulo | 5 | 340 | 71.99 |