Energy-Efficient Compressed Sensing in Cognitive Radio Network for Telemedicine Services

Algorithm 3

For the compressed sensing method.

1. is the input signal of dimension , x ϵ R^N.

2. As per compression theory model, .

3. ϕ ϵ R^M×N is the CS measurement matrix,

4. CV of the received signal can be calculated using

5. FC computes th center of Gerschgorin circle and radius by .

6. GRCR test statistics is formed by

7. The test statistics are compared with the threshold and if T_GRCR > ξ then PU is present, otherwise PU is absent, where ξ is the decision threshold fixed to achieve a fixed false alarm rate.