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FastLaplace
- 利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法,具有较好的计算精度-Bayesian compressive sensing using laplace priors,with high accuracy
opm
- 采用小波变换基稀疏用正交匹配追踪算法重构的压缩传感-Sparse wavelet transform based algorithm using orthogonal matching pursuit compressed sensing reconstruction
main1
- 直接贝叶斯方法进行压缩感知中的稀疏信号的重构-direct Beiyasian method for CS reconstruction
main2
- 变分贝叶斯方法进行压缩感知中的稀疏信号的重构-Variational Bayesian method for CS reconstruction
PSO
- 用智能算法的粒子群算法进行压缩感知稀疏信号的重构-PSO is used for signal reconstruction