Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, Yongzhen
dc.description.abstractThis report documents the student’s MSc dissertation named Error Optimized Sampling Rate Conversion in Frequency Domain from year 2018/2019, under the supervision of Project supervisor Associate Professor Bi Guoan. Nowadays, as the development of science, electronic devices have occupied every corner of the world, because they indeed give us so much convenience. For example, telephone connects two people who are far away from each other, which makes so many impossible become possible, such as a video interview. Among the techniques that phone were introduced, Sample Rate Conversion, known as SRC, is significant. Therefore, improving the techniques of SRC helps ameliorate the living standards of human beings. In the past, many methods to realize SRC were reported. Recently, frequency-domain SRC is becoming hotter, due to less cost and complexity. However, these methods are not accurate enough for increasing high demand of accuracy. In this report, the emphasis is placed on how to optimize the frequency-domain method to obtain a more desirable result. By using sparse representation and convex optimization to calibrate sampling rate conversion in frequency domain, the conversion errors of the method are minimized. The software program is based on MATLAB.en_US
dc.format.extent50 p.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleError optimized sampling rate conversion in frequency domainen_US
dc.contributor.supervisorBi Guoanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
Error Optimized Sampling Rate Conversion in Frequency Domain_v1.pdf
  Restricted Access
690.13 kBAdobe PDFView/Open

Page view(s)

Updated on Jul 14, 2024


Updated on Jul 14, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.