The log-sum function as a penalty has always been drawing widespread attention in the
field of sparse problems. However, it brings a non-convex, non-smooth and non-Lipschitz …

The interpolation and reconstruction of missing traces are crucial steps in seismic data
processing; moreover, it is also a highly ill-posed problem, especially for complex cases …

Seismic data often suffer from missing traces, and traditional reconstruction methods are
cumbersome in parameterization and struggle to handle large-scale missing data. While …

Seismic data interpolation is a highly ill-posed problem. Therefore, designing an appropriate
regulating method, aiming to reduce multi-solutions, is of utmost importance. Sparse and low …

The use of a nonlocal self-similarity (NSS) prior, which refers to each reference patch always
having many nonlocal similar patches, has demonstrated its effectiveness in seismic data …

Convolutional Neural Network (CNN) is widely used for seismic data recovery, and has
demonstrated remarkable performance in reconstructing irregularly and regularly sampled …

由于地表障碍或经济限制, 采样的地震数据通常是不完整的, 因此地震数据重建是地震研究中的
一个重要课题. 本文提出一种基于联合加速近端梯度和对数加权核范数最小化的地震数据重建 …

随机噪声的存在会降低地震资料信噪比(signal-to-noise ratio, SNR), 影响后续资料的处理与
分析. 基于低秩先验的地震数据随机噪声压制方法将去噪问题通过建模转化为求解秩最小化问题 …

The log-sum regularization has been always drawing widespread attention in the field of
sparse problem. However, it brings about a non-convex, non-smooth, and non-Lipschitz …

A line spectrum presents the form of a narrow-band time-varying signal due to Doppler effect
when the single hydrophone node observes flight-radiated noise. The modulation law of the …