| 摘要 |
Samples from a gaussian distribution are used for simulating the performance of communication channels that are corrupted with additive white gaussian noise (AWGN). There is a need for fast, efficient methods of computing these samples, particularly in hardware. Speed of generation is important because, in many cases, the samples must be produced in real-time at the channel data rate. Efficiency of generation is especially important for FPGA-based implementations or other types of design or test systems where on-chip memory is in short supply.
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