我正在阅读错误探测,在我完全理解的发言中 st。 该声明说,“为了扼杀我们,我们需要双轨平线,以发现2个轨道错误”。 (a) 对基准2的标识
我完全不理解为什么如此,是否有任何正式衍生物证实这一点。
该书的名称是Gallahager的数据网络。
不要怀疑这本书所说的话,而只是想看到一种 deriv。
Thanks, Chander
我正在阅读错误探测,在我完全理解的发言中 st。 该声明说,“为了扼杀我们,我们需要双轨平线,以发现2个轨道错误”。 (a) 对基准2的标识
我完全不理解为什么如此,是否有任何正式衍生物证实这一点。
该书的名称是Gallahager的数据网络。
不要怀疑这本书所说的话,而只是想看到一种 deriv。
Thanks, Chander
http://en.wikipedia.org/wiki/Cyclic_redundancy_check”rel=“nofollow noreferer” Cyclic Redundancy Check/a>。 严格说来,对等值的《儿童权利公约》来说,“平等”是一比一比一线检查,这样说的“平等”的范围可能太短。 The article Mathematics of CRC"就衍生物作了更多阐述。
如果接收人重新计算对等比值,并将重新计算的平等比值与收到的对等比值进行比较,则差异称为综合症。 如果没有错误,综合症就等于零。
<编码> 换言之,综合症 = 重新计算_parity XOR rectis_parity.。
证明在有效载荷数据线2°轨道范围内检测出2个轨道差错需要同等比值:
When there is only 1 error in the entire frame, when the receiver re-calculates the parity bits, there are two cases:
When there is exactly 2 errors in the entire frame, the resulting syndrome is the XOR of the syndrome caused by each error in isolation. When the receiver re-calculates the parity bits, there are 3 cases:
If, hypothetically, there existed some payload bit such that flipping it produces some syndrome S,
and there is any other payload bit that produces exactly the same syndrome S,
then a two-bit error that hit both of those bits would be undetectable.
In other words, that two-bit error would give syndrome of S xor S == zero
.
In other words, each parity is either case (a) or case (b), neither of which can detect such an error.
That would be bad.
So in order to detect every possible two-bit error in the frame, we must design the error-detection code such that each single-bit error must produce a different syndrome. In other words, there must be at least 1 parity bit of type (c) for every possible case of two erroneous bits in the frame.
Using n parity bits gives n syndrome bits. With n syndrome bits, there are at most 2^n possible different syndromes. So to make sure that each bit in the frame (when it is the only error) gives a different syndrome, we must have at most 2^n bits in the frame.
请将此问题贴在https://math.stackchange.com/上。 你们得到的证明比以前少得多,而且更强。
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