<caption><image_116>The image is a photograph of a whiteboard with black text written on it. The text reads "Dimmably for HIF, BFP, BSF, Bilmeer Transform". The text is written in a cursive font and is centered on the whiteboard. On the top right corner of the image, there is a logo of a shield with a crown on top and the words "CDEEP" written below it. On top of the shield, there are two logos, one for the CDEEP and the other for the BSPF. The background of the board is plain white.</caption><caption><image_117>The image is a screenshot of a whiteboard with black text written on it. The text reads "Similarly for HIFP, BFP, BSF, Bilateral Transform, Normalized, Analog, and Apes". The text is written in a cursive font and is centered on the whiteboard. The background of the image is blurred, but it appears to be a desk or a table with a computer monitor on the right side. On the top right corner, there is a logo of the Indian Institute of Technology (IIT Bombay) and on the bottom left corner, it reads "Deep Hit Bombay".</caption> all that we are doing is really to normalize the frequency axis that correct so here the changes see its very interesting the s to z transformation this process of normalization are all transformations of the independent variable not the dependent variable the dependent variable is not being transformed it is the independent variable which is being transformed and the dependent variable is being is that right now once we have the so remember this can be similarly done for band path similarly for high pass filter band pass filter band you can go to a set of normalized specifications and the next thing to do is to use the bilinear transform will take you from the normalized that means you have specifications in omega and now you have here and how would we carry out this movement from discrete capital omega is tan
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