Compressed Sensing Research on Barn Temperature

That compressed sensing is used in online monitoring of stored grain information could reduce the mass of information storage space and transmission bandwidth. However, due to the question that compressed sensing reconstructed error may cause decision-end to make wrong decision, a limited feedback error controlling method is proposed, wrong decision-making caused by reconstruction error is solved through feedback a small number of critical data. Numerical experiments on barn temperature shows that this method, on the basis of costing a small amount of compression ratio, can effectively improve the quality of reconstructed signal.