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Missing Data Imputation for Time-Frequency Representations of Audio Signals

机译：缺少音频信号时频表示的数据估算

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Paris Smaragdis; Bhiksha Raj; Madhusudana Shashanka;
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1. Missing Data Imputation for Time-Frequency Representations of Audio Signals [J] . Paris Smaragdis, Bhiksha Raj, Madhusudana Shashanka Journal of VLSI signal processing systems . 2011,第3期

机译：音频信号的时频表示缺少数据归因
2. HILBERT SPECTRUM IN TIME-FREQUENCY REPRESENTATION OF AUDIO SIGNALS CONSIDERING DISJOINT ORTHOGONALITY [J] . MD. KHADEMUL ISLAM MOLLA, KEIKICHI HIROSE Advances in Adaptive Data Analysis . 2010,第3期

机译：考虑不正交性的音频信号的时频表示中的希尔伯特谱
3. Sparsity-based time-frequency representation of FM signals with burst missing samples [J] . Amin Vaishali S., Zhang Yimin D., Himed Braham Signal processing . 2019,第FEBa期

机译：基于稀疏性的FM信号的时频表示，突发采样丢失
4. Missing data imputation for spectral audio signals [C] . Smaragdis Paris, Raj Bhiksha, Shashanka Madhusudana Machine Learning for Signal Processing, 2009. MLSP 2009 . 2009

机译：频谱音频信号的数据插补丢失
5. The impact of missing data treatments in a multiple regression analysis: A Monte Carlo comparison of deterministic imputation, stochastic imputation, multiple imputation, and the deletion procedures [D] . Newsome, Dwight Howard. 1996

机译：多元回归分析中缺失数据处理的影响：确定性归因，随机归因，多重归因和删除程序的蒙特卡洛比较
6. A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction [O] . Zhiyong Hu, Dongping Du 2020

机译：一种新的分析框架用于缺少数据避难和不确定性分类：缺少数据归档和心力衰竭入读预测
7. Sparsity-based time-frequency representation of FM signals with burst missing samples [O] . Vaishali S. Amin, Yimin D. Zhang, Braham Himed 2019

机译：基于稀释的稀疏基于爆发样本的FM信号的时频表示

Missing Data Imputation for Time-Frequency Representations of Audio Signals

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