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

Figure 8

Data recovery with 20% random data loss and with 5% noise.

(a) Original response signal with 5% noise, 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=0.2857