J Calpe-Maravilla
Biographic Data
| ID | 9257508 |
|---|---|
| NAME | J Calpe-Maravilla |
| GIVEN NAMES | J |
| FAMILY NAME | Calpe-Maravilla |
| SIGNATURE | CALPE-MARAVILLA J |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 0 |
An easy demonstration of the optimum value of the adaptation constant in the LMS algorithm [FIR filter theory]
The least mean squares (LMS) is the most widely used algorithm among those proposed to adapt the coefficients of an FIR filter in order to minimize the mean-square error (MSE) between its output and the desired signal. Since the introduction of the LMS algorithm, many variants have been proposed to improve its performance. Doubtless, the most popular is the normalized LMS algorithm, which uses a value for the adaptation constant that assures the …
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An easy demonstration of the optimum value of the adaptation constant in the LMS algorithm [FIR filter theory]
The least mean squares (LMS) is the most widely used algorithm among those proposed to adapt the coefficients of an FIR filter in order to minimize the mean-square error (MSE) between its output and the desired signal. Since the introduction of the LMS algorithm, many variants have been proposed to improve its performance. Doubtless, the most popular is the normalized LMS algorithm, which uses a value for the adaptation constant that assures the …
Adaptive filter (1 work) · Advanced Adaptive Filtering Techniques (1 work) · Algorithm (1 work) · Computer Science (1 work) · Constant (computer programming) (1 work) · Convergence (economics) (1 work) · Filter (signal processing) (1 work) · Filter design (1 work) · Finite impulse response (1 work) · Image and Signal Denoising Methods (1 work)