A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring

Figure 7

Data recovery with 20% random data loss.

(a) Original response signal, 𝑁=1024

(b) Linear measurement data, 𝑀=1024

(c) Simulated loss data sets, 𝑝=20%

(d) Received measurement data, 𝑝=20%, 𝑀=1024

(e) Reconstructed signal, 𝜉=0.2388