Abstract: Cognitive radio network is a new communication paradigm to address spectrum under utilization and scarcity problems by sharing the spectrum holes (unused licensed frequency bands) opportunistically. Spectrum sensing which determines spectrum holes by detecting the presence of licensed user, also known as primary user, on the associated spectrum, is a primary function of the cognitive radio. The performance of spectrum sensing greatly influences the overall performance of cognitive radio network. In this study, we have analyzed the performance of cooperative spectrum technique by employing wavelet transform to denoise the primary user signal to improve SNR value received at the cognitive radio, the secondary user. This improves the accuracy of the sensing algorithm as reflected in the simulation results presented here. The performance has been analyzed for AWGN and rayleigh fading channel models under different SNR conditions and for varying number of cooperating users for both without and with wavelet transform. Simulation results show significant improvement in the spectrum sensing performance.