In this paper a exible, high-throughput, low-complexity additive white gaussian noise (AWGN) channel generator is presented. The proposed generator employs a Mersenne-Twister to generate a long random number uniformly distributed sequence and a Box-Muller transformation implementation to derive gaussian noise samples. Emphasis is given on developing a high-throughput approximation unit for the elementary functions required for the transformation. The proposed techniques are shown to lead to

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... tions that provide four samples per clock, which in turn can sustain throughputs of 584MSps, with moderate clock frequency and hardware complexity.