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Title: Basics of windowing
Description: It is a lab report which explains the basics of windowing techniques used in digital signal processing and filtering.
Description: It is a lab report which explains the basics of windowing techniques used in digital signal processing and filtering.
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LAB
Windowing and its Types
Anokhi
18-2-2015
Aim: To understand windowing and analysis different window types
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But for non-periodic signals this is not the case
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This leakage may even distort the original frequency spectrum or increase the
frequency range
...
Windowing:
A window basically a function is applied to a signal in time domain to make it periodic
...
It is shaped such that it is exactly 0 in the
beginning than takes some special shape and again decays to 0 at the end
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Hence the lobes in frequency domain
which are comparatively far from the original frequency component are removed
...
Hamming and Hanning windows:
-> Both are similar shaped window types except that the main difference between them is their
convergence at the edge
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Hence Hamming window still has some
discontinuity
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The peak we
obtain in both is essentially almost similar
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Blackman Window:
->There exists extra cosine term in Blackman window function which reduces side lobes more than
Hamming and Hanning window
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Hence
their being more terms in the function of Blackman window it provides more accurate results than
Hamming and Hanning window
...
Bartlett Window:
->The Bartlett window is triangular shaped
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Hence the removal of side lobes with
unnecessary frequency components is difficult to avoid
...
Rectangle Window:
->It is the simplest form of windowing
...
These sudden changes has undesirable responses in frequency
domain hence there are changes made to the function and converted to better window like hamming
or any other
Title: Basics of windowing
Description: It is a lab report which explains the basics of windowing techniques used in digital signal processing and filtering.
Description: It is a lab report which explains the basics of windowing techniques used in digital signal processing and filtering.