How to know your numeric (scalar) value which indicates how well your filtering worked (by comparing your result to y_original)?

How to know your numeric (scalar) value which indicates how well your filtering worked (by comparing your result to y_original)?

Answer 1

[Wayne King]

you can compute the squared error

norm(y-y_original,2)

or the variants thereof like mean squared error or root mean squared error if you have a random element.

If you have the Signal Processing Toolbox see the help for rms() where you would use the difference vector.

A smaller squared error means a better approximation.

[sai]

thank you due..