Btv双边全变分正则化重建方法及重建方法其发展- Using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models

该文档详细的描述了向量范数和矩阵范数的计算及应用，对于处理算法中经常遇到的范数简化有很大的作用。-A detailed descr iption of the document vector norm and the matrix norm calculation and application of processing algorithms for the norm are often encountered in the role of simplified greatly.

用于稀疏系统辨识的L0范约束的最小均方算法原理研究-For sparse system identification of L0 norm constraint of the least mean square algorithm principle is studied