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BCS fast rvm

于 2020-06-29 发布 文件大小:2KB
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代码说明:

  该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题,从而利用贝叶斯理论实现参数估计,从而得到高效的重建稀疏信号。(The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal compression perception theory, Bayesian theory parameter estimation, resulting in efficient reconstruction of sparse signal.)

文件列表:

BCS_fast_rvm.m,5463,2007-07-12

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