| Summary: | 碩士 === 大同大學 === 通訊工程研究所 === 90 === Recently, the frequency of the signal is more and more higher. In the traditional digital signal processing system, only increasing the sampling frequency could reduce aliasing. However, this approach increases number of bits and required more hardware complexity.
In this thesis, we focus on discussing and analyzing nonuniform sampling. Then we simulate and evaluate the iterative algorithm for the reconstruction of a nouniform sampled signal. In the meantime, it is shown that signal recovery is possibly sampled lower than the Nyquist rate based on the nonuniform sampling theory. The nonuniform sampled signal is obtained from pulse position modulation (PPM), then by use of an iterative method to recover the signal at various number of iteration, sampling rates and convergence parameters . The simulation results show that this method is effective and fairly fast because the errors after a few iterations are negligible.
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