hydrology
基于最大重叠离散小波的压缩感知
MODW-based compressed sensingA novel methodology that integrates Maximum Overlap Discrete Wavelet (MODW) decomposition with the Compressed Sensing (CS) framework to estimate missing daily rainfall data. / 一种将最大重叠离散小波（MODW）分解与压缩感知（CS）框架相结合的新颖方法，用于估算缺失的每日降雨数据。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-14 23:05:39
Sub-knowledge points
MODW-CSDW-CS
Higher-order knowledge points
Compressed Sensing / 工艺技术Discrete wavelet analysis
Main parameters and performance indicators
MODW: Maximum Overlap Discrete WaveletCS: Compressed Sensing frameworkRMSE: Root-mean squared errorMAE: Mean absolute errorCE: Coefficient of efficiency
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsAdvanced Approaches for Imputing Missing Rainfall Data in Time Series: Dynamic Adaptive Wavelet-Based Compressed SensingOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: MODW-based compressed sensing.
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