Different from traditional parallel computations algorithms, Space-Time Adaptive Processing (STAP) algorithms are composed of several phases and each phase consists of many identical, separable tasks.
与传统并行计算研究对象不同的是，空时自适应处理(STAP)的各阶段是由多个相同的、可分离的任务组成。
This algorithm not only has the same local reconstruction characteristics with the algorithm based on separable MRA, but have better image quality and can be obtained by shorter working time.
算法结果，相比通常所使用的基于可分离MRA的小波重建算法基本相同的局部重建特性，重建质量和运算速度都优于后者。
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