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Python adaptive signal processing tutorials

License: MIT License

Jupyter Notebook 100.00%
adaptive-filters python tutorial identification signal-processing filtering audio-processing

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python-adaptive-signal-processing-handbook's Issues

Adaptive noise cancellation using reference signal

Hi,
Thanks for the wonderful repo. Could you please tell me how we can perform the Adaptive noise cancellation using a reference signal (reference noise signal)?

The example you provided here only makes use of the past value of the signal. Can we adjust it to make use of the reference signal to update the filter coefficients?

AdaptiveFilter.__init__() missing 1 required positional argument: 'mu' in notebooks/AR_identification.ipynb

The fourth block of AR_identification.ipynb is shown as follows:

# list of all filters (with other values like names, and positions in figures)
filters = [
    {"name": "LMS", "mu_s": 0.001, "mu_e": 0.05, "filter": pa.filters.FilterLMS(n), "plot_position": 221 },
    {"name": "NLMS", "mu_s": 0.01, "mu_e": 2., "filter": pa.filters.FilterNLMS(n), "plot_position": 222 },
    {"name": "GNGD", "mu_s": 0.01, "mu_e": 4., "filter": pa.filters.FilterGNGD(n), "plot_position": 223 },
    {"name": "RLS", "mu_s": 0.001, "mu_e": 1., "filter": pa.filters.FilterRLS(n), "plot_position": 224 },    
]

It seems each "filter"'s initialization is missing a necessary parameter "mu" which is leading to the error in the title.

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