真随机数发生器的熵源通常来自于真实的物理世界，如热噪声，大气噪声，放射性衰减甚至掷硬币。
TRNGs are usually based on physical phenomena such as thermal noise, atmospheric noise, radioactive decay and even coin-tossing.
本文最后分析了随机序列的修正方法，提出了用哈希算法对真随机数发生器的原始输出进行修正的方法。
The final chapter expounds on correction methods of random sequences, and proposes a method of using the hash algorithm to correct the original outputs of TRNG.
给出了一个在密码处理器中直接调用SHA - 1模块进行修正处理的接口，在对真随机数发生器的原始输出进行修正处理的同时，有效地提高了随机序列的产生速度。
Also a module directly invoking the SHA-1 module in crypto-processor is given, which corrects the original outputs of TRNG, and at the same time improves the output bit rate of random sequences.
给出了一个在密码处理器中直接调用SHA - 1模块进行修正处理的接口，在对真随机数发生器的原始输出进行修正处理的同时，有效地提高了随机序列的产生速度。
Also a module directly invoking the SHA-1 module in crypto-processor is given, which corrects the original outputs of TRNG, and at the same time improves the output bit rate of random sequences.
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