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Generalised Normalised Gradient Descent Adaptive Filter · psambit9791/jdsp Wiki · GitHub
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Generalised Normalised Gradient Descent Adaptive Filter
Sambit Paul edited this page Dec 2, 2023
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The parameters for this filter are as follows:
- Learning Rate (mu) ⇨ 0.25 [The learning rate to determine how fast the adaptive filter updates the filter weights]
- Compensation Term (eps) ⇨ 0.25
- Step Size Adaptation Parameter (ro) ⇨ 0.1
- Length ⇨ 20 [Number of taps in the filter]
int order = 3;
double mu = 0.25;
double eps = 0.001;
int length = 20;
GNGD filt1 = new GNGD(length, mu, eps, ro, GNGD.WeightsFillMethod.ZEROS); // Initialising weights to zero
filt1.filter(desired, signal); // Weights are adapted so that the input signal can be modified to the desired signal
Wiki
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Filters
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