What I don't understand about this algorithm-:
What is the diffeence between w and w cap?
What is the meaning of extremals?
What does it means to reject p-r superfluous potential...
What I don't understand about this algorithm-:
What is the diffeence between w and w cap?
What is the meaning of extremals?
What does it means to reject p-r superfluous potential...
Not sure if this helps or not: it's another explanation of the Remez algorithm specifically for the Parks-McClellan algorithm.
Answers to your explicit questions:
$\hat{\omega}_k$ are specific frequencies and $\omega$ is a variable.
The extremals are the peaks of the error function (called norm-points below).
For an optimal filter, you only need $r+1$ extremals. The algorithm you state will give more. It's saying to ignore the ones you don't need to find the answer.