論文筆記 [7] complex-trace analysis for temporal resolution improvement
論文筆記 [7] Application of complex-trace analysis to seismic data for random-noise suppression and temporal resolution improvement 地震數據需要有更高的時空分辨率，並且較低的相干噪聲和隨機噪聲，這樣才能更容易解釋。這篇文章目的在於通過復地震道分析 complex-trace
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相關文章
- 1. [論文筆記] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (1)
- 2. 論文筆記：Unsupervised Deep Embedding for Clustering Analysis
- 3. Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation 論文筆記
- 4. VSR論文筆記二|Robust Video Super-Resolution with Learned Temporal Dynamics
- 5. Video Super-resolution with Temporal Group Attention 論文閱讀筆記
- 6. 【PaddlePaddle論文復現】Temporal Pyramid Network for Action Recognition論文筆記
- 7. 論文閱讀筆記之——《Temporally Coherent GANs for Video Super-Resolution (TecoGAN)》
- 8. 【論文閱讀筆記】YOLOv3: An Incremental Improvement
- 9. 論文筆記：YOLOv3: An Incremental Improvement
- 10. YOLOv3: An Incremental Improvement論文閱讀筆記