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string_conversions

于 2015-10-27 发布文件大小:9KB

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代码说明：

Offset between filter input samples (see notes).

文件列表：

nasm.c,2683,2015-06-06
native_fbdev.c,14650,2015-10-19
string_conversions.c,3211,2015-10-15
variance_c.c,12997,2015-10-27

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Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve. The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.(Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.)

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string_conversions

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