Solving LeastSquares Problems with Gradient Descent: the Least MeanSquare Algorithm
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Question 1 of 4
1. Question
Which of the following are disadvantages of directly computing the solution to the MMSE filtering or least squares problem using ? Assume the dimension of is and that data samples are available. Select all that apply.
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Question 2 of 4
2. Question
The LMS algorithm updates the current estimate of the weights with a step in a direction given by the negative gradient of the instantaneous squared error .
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Question 3 of 4
3. Question
The instantaneous gradient used in the LMS algorithm is the same as the gradient of the MSE.
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Question 4 of 4
4. Question
Define the error as . Which of the following is the gradient of ?
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