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The separation of non-stationary signals is a hot topic. The blind source separation algorithms based on time-frequency analysis can not only describe the time-domain feature and the frequency-domain feature of signals but also extract the time-varying feature of non-stationary signals. Blind source separation owns better performance in solving the problem of non-stationary signals separation. In...
Two-dimensional phase unwrapping is one of the key problems in many signal processing applications. Flynn's minimum discontinuity phase unwrapping is one of the algorithm which can solve many different kinds of phase unwrapping problems successfully, but its computation efficiency is too low. To overcome this drawback, a blocked minimum discontinuity phase unwrapping algorithm is proposed. In the...
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