Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0730104-040310 Statistics This thesis had been viewed 2893 times. Download 2133 times. Author Chen-Fan Tan Author's Email Address firstname.lastname@example.org Department Communication Engineering Year 2003 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 109 Title Noise Reduction and Simulation Modeling Techniques of the Double-Sampling Delta-Sigma Modulator Keyword double-sampling delta-sigma behavior model additive-error switching additive-error switching behavior model delta-sigma double-sampling Abstract Delta-sigma modulator is a proven method to realize high resolution analog-to-digital converters. A way to implement such a modulator by using double-sampling technique. Unfortunately, capacitors mismatch between both sampling branches causes a part of the quantization noise to fold from the Nyquist frequency back in the signal band. In this thesis, we propose two methods to reduce the folded noise. The first one is modifying the noise transfer function (NTF) into a bandpass form. The other one is by using digital logic circuits to control switches.
Both the proposed methods was integrated and the system was simulated by using SMASH. The input frequency is 10 kHz, the sampling frequency is 1.28 MHz and oversampling ratio is 128. Using TSMC 0.18 um 1P6M 3.3 V process. Under mismatch parameter δ= 10 %, we can achieve peak SNDR about 66.7 dB.
Advisor Committee Jie-Chereng Liu - advisor
Teng-Pin Lin - co-chair
Wu-Shiung Feng - co-chair
Files Date of Defense 2004-07-16 Date of Submission 2004-07-30