141 citations · 1.7k across the 117 of their papers we have counts for
3 papers · 2 filters
Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation
Koujin Takeda, Yoshiyuki Kabashima
We propose a systematic method for constructing a sparse data reconstruction algorithm in compressed sensing at a relatively low computational cost for general observation matrix.…
Statistical Mechanics Approach to Sparse Noise Denoising
Mikko Vehkapera, Yoshiyuki Kabashima, Saikat Chatterjee
Reconstruction fidelity of sparse signals contaminated by sparse noise is considered. Statistical mechanics inspired tools are used to show that the l1-norm based convex optimizati…
Statistical mechanics approach to 1-bit compressed sensing
Yingying Xu, Yoshiyuki Kabashima
Compressed sensing is a technique for recovering a high-dimensional signal from lower-dimensional data, whose components represent partial information about the signal, utilizing p…