A photo of Claude elwood Shannon.
Shannon's introduction said that he was born in Michigan, 19 16. He lives in a small town with only 3000 residents. His father is a judge in this town. Their father and son have the same name. Shannon grew up in a rich family and was influenced by the inventor's grandfather. He is interested in all kinds of experiments. He spent most of his life in the laboratory, and even met his wife in the laboratory. Later, they gave birth to four children. Shannon, aged 84, died at 200 1.
Shannon's greatest achievement in his life is the concept of entropy. His research finally proved that there is an equivalent relationship between entropy and information. In Shannon's view, the amount of information is randomly reduced, and the degree of reduction is also random. Information can reduce this uncertainty. It can be said that Shannon's concept of information has made great progress compared with previous understanding. However, it still has some limitations. However, Shannon's contribution is still great, and his curiosity about science and concern for perfection are also worth learning.
information theory
For modern people, network and information have become an important part of life, even an indispensable part. However, these convenient information and exchanges can only be created through the unremitting efforts of scientists. Shannon is the founder of information theory, and his unique view of information makes people re-examine logic theory. Shannon's greatest contribution is Shannon theory. With the appearance of this theorem, the research in the field of information and symbolic logic has found the right direction again.
Shannon photo
Shannon divided his theory into three parts, so Shannon's theory has three parts. Shannon's first theorem is variable-length lossless source coding theorem, which maximizes the information of symbols and transmits the most information with the least symbols. Shannon's second theorem is the noise channel coding theorem, which talks about the relationship between information transmission rate and channel capacity, and can minimize the error in information transmission. Shannon's third theorem is a distortion source coding theorem under the criterion of preserving distortion, which reduces the coding distortion and meets certain requirements.
Shannon theory plays a fundamental role in modern information. This theorem can calculate the maximum transmission rate of the channel, that is, the channel capacity. When the signal rate through the channel exceeds the channel capacity of Shannon theory, the bit error rate increases significantly and the information quality decreases seriously. It should be pointed out that the channel capacity here is only the limit that can be reached in theory, and how to achieve it in practice cannot be explained by this theorem. Shannon's greatest contribution in his life is not limited to this. His logical method has also been widely used in other disciplines, providing many scientists with novel reasoning ideas and promoting the progress in various scientific fields.