基于原子范降噪的线谱估计技术，内容主要高分的压缩感知线谱估计，在雷达领域有着非常广泛的用途。-Atomic norm denoising with applications to line spectral estimation for radar, sonar and wireless commmunication

Forward - Backward Greedy Algorithms for Atomic Norm Regularization-Forward- Backward Greedy Algorithms for Atomic Norm Regularization

信号处理里一类研究比较火热的压缩感知算法，通过对接收信号进行原子范数约束，使恢复结果具有稳健的性质，并且实现了无格点压缩感知-Signal processing in a class of relatively hot compression sensing algorithm, through the received signal atomic norm constraint, so that the recovery results have a robust nature, and to

原子范数去噪与谱估计去噪的应用，其中集合了原子范数的最优化问题！(Atomic norm denoising with applications to line spectral estimationdenoising_core_codes)