压缩感知重构算法我要分享

中文说明：压缩观测y=Φx，其中y为观测所得向量M×1，x为原信号N×1（M<

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English Description：

The compressed observation y = Φ x, where y is the observed vector m × 1 and X is the original signal N × 1 (M & lt; & lt; n). Generally, X is not sparse, but in a certain transform domain, ψ is sparse, that is, x = ψ θ, where θ is k-sparse, that is, θ has only K non-zero terms. In this case, y = Φ ψ θ, let a = Φ ψ, then y = a θ. &(1) y is the observed vector, m × 1;