# Meeting Details

Title: What is a perfect code? CCMA Luncheon Seminar Will Chen, Penn State University While noise on an analog signal may cause distortion that is easily corrected by the human recipient, a single bit-flip on the number the represents your bank balance may easily change your balance from $65536 to$0. Thus, as the transmission and storage of digital data became widespread, it became necessary to devise efficient methods of storing and transmitting data accurately without errors. Indeed, nowadays almost every form of digital data transmission and storage employ some form of error-correcting code. My talk will discuss the basics of the theory of error correcting codes. I'll describe the general problem, introduce some definitions, and hopefully prove a few necessary and sufficient conditions for achieving a certain level of error-correction.