Question: Explain how the eigenvalues of the input data correlation matrix R influence the performance of the conventional LMS algorithm in terms of convergence and rate

Explain how the eigenvalues of the input data correlation matrix R influence the performance of the
conventional LMS algorithm in terms of convergence and rate of convergence. How can data
preprocessing steps, such as rescaling the input values or whitening the data, affect LMS performance?

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