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Báo cáo hóa học: " Research Article Raised Cosine Interpolator Filter for Digital Magnetic Recording Channel"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Raised Cosine Interpolator Filter for Digital Magnetic Recording Channel | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 651960 8 pages doi 10.1155 2011 651960 Research Article Raised Cosine Interpolator Filter for Digital Magnetic Recording Channel Hui-Feng Tsai1 and Zang-Hao Jiang2 1 Department of Computer Science and Information Engineering Ching Yun University Jhongli City 32097 Taiwan 2 Optoelectronics and Systems Laboratories Industrial Technology Research Institute Hsinchu 31040 Taiwan Correspondence should be addressed to Hui-Feng Tsai hftsai@cyu.edu.tw Received 29 September 2010 Accepted 6 February 2011 Academic Editor Ricardo Merched Copyright 2011 H.-F. Tsai and Z.-H. Jiang. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Interpolators have found widespread applications in communication systems such as multimedia. In this paper the interpolated timing recovery employing raised cosine pulse for digital magnetic recording channel is investigated. This study indicates that the raised cosine interpolator with rolloff factor f between 0.4 and 0.6 is shown to have less aliasing effect and achieve better MSE performance than other interpolators such as the sinc polynomial and MMSE interpolators with similar computational complexity. The superiority of the raised cosine interpolator over other interpolators is also demonstrated on the ME2PRIV recording channel through computer simulations. The main advantage of the raised cosine interpolator is that it is potentially simpler and can be fully digitally implemented. 1. Introduction The digital filter applications to continuous-time and discrete-time signals are possible because of the sampling theorem. The sampling frequency might change from one value to another employing a conversion referred to as interpolators and decimators. These subsystems are applied in .