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okay so good afternoon everybody again and also everybody watching on YouTube so um in this afternoon we are going fishing now so in the previous lecture you learned itamp;#39;s all about addressing the question where is the fish so I have my fishing rod and we are going to address one of the techniques in inverse modeling which is uh itamp;#39;s also construction using beamformers so there will be some repetition from the previous lecture and this is quite healthy in the context of the toolkit so uh just donamp;#39;t get surprised at you or actually you should be excited that you see things again so so far in the course of the toolkit weamp;#39;ve basically addressed some temporal aspects of the data and also some spectral aspect this morning so we are going to use those two Dimensions so time and frequency and we would like to address a third dimension which is space so we want to uncover some spatial aspect of your data pretending to not having time and frequency in it but we ar
