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Dynamical Approach for Spectral Estimation under Reverberation

机译:混响下光谱估计的动态方法

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The problem of spectral estimation in reverberation noise is considered in this paper. Since the reverberation is inherently deterministic, a new complexity measure called the phase space volume (PSV) is introduced for estimation instead of using the conventional probabilistic measures. We show that the unknown spectral of a signal embedded in reverberation noise can be obtained by minimizing the PSV (MPSV) of the received signal in a reconstructed phase space. Simulations are carried out to analyze the efficiency of the MPSV method for spectral estimation in reverberation noise. To illustrate the usefulness of the MPSV technique in solving real life problems, the problem of echo estimation in real reverberation is considered.
机译:本文考虑了混响噪声的光谱估计问题。由于混响是固有的确定性,因此引入了称为相空间(PSV)的新复杂度测量,以估计而不是使用传统的概率措施。我们表明,通过在重建的相空间中最小化接收信号的PSV(MPSV),可以获得混响噪声中的信号的未知光谱。进行了模拟,以分析MPSV方法的频谱估计中的频谱估计。为了说明MPSV技术在解决现实生活中的实用性,考虑了实际混响中回声估计的问题。

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