根据压缩传感(Compressed Sensing，cs)N论，首次提出了短时电能质量扰动信号的压缩采样方法，该方法突破了奈奎斯特采样频率的限制，实现了低于奈奎斯特采样频率的低速率采样。文中对比分析了CS理论与传统采样理论，研究了cS短时电能质量信号压缩采样的实现方法，包括：测量矩阵的构建、稀疏基的选取和电能质量信号快速贝叶斯匹配追踪重构算法(FBMP)-Compressed sensing ( Compressed Sensing , cs ) N theory , first proposed the short duration power quality disturbance signal compression sampling method , the method to break through the Nyquist sampling frequency limit below the Nyquist sampling the frequency of the low- rate sampling . Comparative analysis of the CS theory and traditional sampling theory to study the implementation of CS short-time power quality signal compression sampling , including: the construction of the measurement matrix sparse basis selection and power quality signal fast Bayesian reconstruction algorithm matching pursuit ( FBMP )