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92                                          Chapter 3 Digital Signal Processing

             external memory) to perform the FFT. Special-purpose hardware can reduce the
             execution time by more than an order of magnitude.

                                                                     1024-point FFT
                    Company           Model          Description          [fis]
               Plessey            PDSP16510A    16-bit block  floating-point  98
               Array Microsystems  DaSP Chip set  Processor and Controller  130
               Butterfly DSP Inc.  BDSP9124     24-bit      fixed-point    54
               France Telecom. CNET FT-VD-FFT8K-4 12-bit block  floating-point  52
               Sharp              LH9124L       24-bit      fixed-point   129
                                  LH9320LU-25
                              Table 3.2 Benchmarks for some FFT processors



             EXAMPLE 3.6
             Derive the Cooley-Tukey FFT (i.e., the decimation-in-time algorithm), for N = 4.
             Hint: Use the following binary representations:


             and



             where ki, k$, n-^, and HQ are either 0 or 1.
                 The DFT is





                 Using this notation and noting that the sum over the time index, n, can be
             written as a double sum over n\ and n$

             X(ki, k Q) = jc 0(ni, n 0) W nk
             with


                        4k n
                 Since W i i = 1, we get





                 Let Xi(&o> no) denote the inner sum, i.e.,





             or, more explicitly,
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