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KMID : 0917520050120020153
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Journal of Speech Sciences
2005 Volume.12 No. 2 p.153 ~ p.170
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Sub-Nyquist Nonuniform Sampling and Perfect Reconstruction of Speech Signals
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Lee He-Young
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Abstract
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The sub-Nyquist nonuniform sampling (SNNS) and the perfect reconstruction (PR) formula are proposed for the development of a systematic method to obtain minimal representation of a speech signal. In the proposed method, the instantaneous sampling frequency (ISF) varies, depending on the least upper boundary of spectral support of a speech signal in time-frequency domain (TFD). The definition of the instantaneous bandwidth (IB), which determines the ISF and is used for generating the set of samples that represent continuous-time signals perfectly, is given. Also, the spectral characteristics of the sampled data generated by the sub-Nyquist nonuniform sampling method is analyzed. The proposed method doesn’t generate the redundant samples due to the time-varying property of the instantaneous bandwidth of a speech signal.
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KEYWORD
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Sub-Nyquist Nonuniform Sampling, Minimal Representation, Perfect Reconstruction, Instantaneous Bandwidth, Time-frequency Representation, Interpolation
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