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SNR Improvement in A/D Converters Using Iterative Algorithm

Kaffashan, Mohammad Mehdi | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40827 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Marvasti, Farrokh
  7. Abstract:
  8. Converting analog signal to digital one is one of the most important issues in signal processing which can be done by using analog to digital converter (A/D). In the first part of this thesis, sigma delta converters based on minimum support filter are investigated. Then, we will show that iterative algorithm can be used in order to improve the performance of the overall system significantly. Asynchronous converters can be utilized for the sake of decreasing power in the process of analog to digital converting. In these converters, a few numbers of samples will be taken from the regions which signal has high autocorrelation. In other words, samples in the asynchronous converters have more information than samples in the synchronous ones. In the second part of this thesis, we have analytically discussed the level crossing problem then, we proposed two asynchronous methods in order to convert analog signal to digital one. In the first proposed method, delta level crossing will be introduced in order to decrease number of levels in quantizer in comparison with level crossing sampler. This converter can be a good substitute for level crossing converter. In the second proposed method, asynchronous sigma delta converter based on level crossing sampling will be investigated which has better performance than level crossing converters. Finally iterative algorithm has applied in our methods in order to increase the quality of reconstructed signal
  9. Keywords:
  10. Nonuniform Sampling ; Iterative Algorithm ; Sigma-Delta Analog to Digital Converter ; Asynchronous Analog to Digital Converter ; Uniform Sampling

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