written 7.0 years ago by | • modified 6.9 years ago |
Subject: Speech Processing
Topic: Speech Analysis in Time Domain
Difficulty: High
written 7.0 years ago by | • modified 6.9 years ago |
Subject: Speech Processing
Topic: Speech Analysis in Time Domain
Difficulty: High
written 6.9 years ago by |
(i) Median smoothing is used for removing noise present in the signals.
(ii) These filters basically remove noise by averaging the neighbourhood values of the signal.
(iii) Properties of running medians: Running medians of length L
a) ML (α x[n]) = α ML(x[n])
b) Medians are basically statistical operators that do not smear out discontinuities (jumps) in the signal if there are no discontinuities within half the length (L/2) of the sample.
c) ML(αx1[n])+βx2[n]≠αML(x1[n])+βML(x2[n])
d) Sharp discontinuities in a signal are generally preserved by median smoother but they fail to smoothen the noise components.