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A fir lter is obtained by truncating the iir lter 342

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Unformatted text preview:   © B § ¦ 5 ") 5 ¡ (3.34) ¡ The 2D DFT is computed by calling two times the 1D DFT. This is very simple: you first compute the DFT of all the columns of , then you compute the DFT to rows of the previous result. In fact, 2D DFT codes are just 1D FFT’s codes working on rows and columns. The 2D DFT is important at the time of filtering 2D images (i.e., gravity maps, seismic records). Notice that in the 2D DFT we need to consider 2D symmetries. ¦¥  3.3. ON THE DESIGN OF FINITE IMPULSE RESPONSE FILTERS 3.3 73 On the Design of Finite Impulse Response filters So far we have studied operators (filters) that are capable of collapsing a wavelet into a spike. These filters are often called spiking filters or Wiener filters. In this section we will examine the problem of designing FIR (Finite Impulse Response) filters. These are filters that are used to eliminate undesired spectral components from our data. 3.3.1 Low Pass FIR filters In this case we want to design a filter that operates in the time domain with a amplitude spectrum with the following characteristics: ...
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