There are two methods that we have learnt for Finite Impulse Response filters. Windowing Method and Frequency Sampling Method. In this post I am going to talk about windowing method. In this method the input time domain infinite signal is multiplied with a windowing function which is finite, to obtain an FIR filter. There are different types of windowing functions. The choice of windowing function is decided by the value of stop band attenuation.
A Scilab code was written to design an FIR filter. Hanning window was the windowing function used.The stopband attenuation was chosen accordingly. A low pass filter was designed and the observed and input values compared.
A Scilab code was written to design an FIR filter. Hanning window was the windowing function used.The stopband attenuation was chosen accordingly. A low pass filter was designed and the observed and input values compared.
We can also directly call the window function in scilab instead of explicitly specifying the function
ReplyDeleteGood
ReplyDeleteWindow function leads to the truncation of infinite values.
ReplyDeleteInformative
ReplyDeleteWhich is the best window function?
ReplyDeleteSelection of window function depends on the stopband attenuation of filter.
DeleteDifferent types of Windowing functiions are available!
ReplyDeleteWhich is a better method? Fsm or window?
ReplyDeleteWhat are the different types of window functions?
ReplyDeleteWell written
ReplyDeleteHamming,Hanning are some of the window functions which are used depending on the application.
ReplyDelete