Research of Reducing Bit Error Rate by Gray Level Weighting Method

• Main Authors: Tien-Yu Yeh, 葉天煜
• Other Authors: Mang Ou-Yang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/82043063228214877496

碩士 === 國立中央大學 === 光電科學研究所 === 97 === The purpose in this study is to reduce the error bits caused in the holographic data storage system, and use the RS code of error correction codes to slove the random noise effectively. After using the gray level weighting method, RS code can correct all error bits of reduced coding pages, and get decoded figure without error bits. The gray level weighting method can decrease error bits effectively when optical system has defocus aberration or more serious lens aberration. We can know that using the gray level weighting method can decrease the optical demand of holographic data storage. Utilize Gaussian accumulate probability to get the mean value and standard deviation to describe the Gaussian destribution curve matched the gray level distribution of actual experiment. Calculate the theoretical value of bit error rate of reduced figure. Using the Himax LCoS and common lens to get the optimal theoretical value of Bit Error Rate is 4.19×10^-10。