In the seventh experiment we perform FIR filter design using window method.
Windowing method requires minimum amount of computational effort; so this method is simple to implement.
properties of commonly used windows:
1. Hamming method
2. Hanning method
3. Triangular method
4. Blackman method
5. Rectangular method
6. Kaiser method
When in numerical window function is not given then, by observing frequency domain characteristics we have to select a proper window function.
Windowing method requires minimum amount of computational effort; so this method is simple to implement.
properties of commonly used windows:
1. Hamming method
2. Hanning method
3. Triangular method
4. Blackman method
5. Rectangular method
6. Kaiser method
When in numerical window function is not given then, by observing frequency domain characteristics we have to select a proper window function.
good content!
ReplyDeleteThe choice of window depends on the value of As.
ReplyDeleteinformative
ReplyDeleteInformative content and interesting if implemented!!!
ReplyDeleteprecise content
ReplyDeleteInformative
ReplyDeleteFIR implementation is basically trying to perform convolution of the input samples with the stored samples of the sinc (filter taps) function.
ReplyDeletenice one informative blog
ReplyDelete