Compressive sampling photoacoustic tomography based on edge expander codes and TV regularization - 源码 - 源码 - 免费下载

Compressive sampling photoacoustic tomography based on edge expander codes and TV regularization

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资源说明：A new photoacoustic (PA) signal sampling and image reconstruction method, called compressive sampling PA tomography (CSPAT), is recently proposed to make low sampling rate and high-resolution PA tomography possible. A key problem within the CSPAT framework is the design of optic masks. We propose to use edge expander codes-based masks instead of the conventional random distribution masks, and efficient total variation (TV) regularization-based model to formulate the associated problem. The edge

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