A new technique for power spectrum estimation using multirate observations

This paper mainly focuses at estimating the power spectral density of a wide sense stationary random signal with available low resolution samples. A modified maximum entropy inference engine algorithm for power spectral estimation of the random signal is proposed in this paper. The approach is also corroborated with simulation results to prove the efficacy of the proposed method.