Abstract—This paper proposes a spectrum sensing algorithm for cognitive radio transceivers to save in sampling rates and receiver hardware complexity. The proposed receiver blindly optimizes its compressed sensing sparsifying bases and has improved receiver-operating characteristics. Keywords: Cognitive radio; Compressive sensing; Wavelet Packet; Blind Optimization, Entropy, sub-Nyquist sampling