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- W4294310939 abstract "This paper proposes a Kalman filter framework for signal denoising that simultaneously utilizes conventional linear time-invariant (LTI) filtering and total variation (TV) denoising. In this approach, the desired signal is considered to be a mixture of two distinct components: a band-limited (e.g., low-frequency component, high-frequency component) signal and a sparse-derivative signal. An iterative Kalman filter/smoother approach is formulated where zero-phase LTI filtering is used to estimate the band-limited signal and TV denoising is used to estimate the sparse-derivative signal." @default.
- W4294310939 created "2022-09-02" @default.
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- W4294310939 date "2022-01-01" @default.
- W4294310939 modified "2023-10-06" @default.
- W4294310939 title "A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising" @default.
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- W4294310939 doi "https://doi.org/10.1109/tsp.2022.3203852" @default.
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