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The channel estimation problem in multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is due to multipath delay spread and high sampling rate is investigated from the compressed sensing (CS) theory. In CS theory two algorithms are proposed such as SP and CoSaMP. These two algorithms are greedy algorithms and minimize the mutual coherence of the measurement matrix. Simulation results show that estimated channel patterns designed by CS theory algorithms givesfatcat:wspjbyddgngazepsil47pikxua