The channel estimation in OFDM is necessary and to recover the accurate information from the received data .The OFDM will be next generation of wireless communication technology. As per users need OFDM has very high data rate and high speed mobile terminals. In addition to the fast fading channels, ICI and multipath fading may damage the data. Using two-dimensional prolate functions we can reduce the complexity in parameters calculation. If we compared with state â€“of-art approach the complexity is O(N)3, the complexity using two-dimensional Prolate function is O(N)2.These functions depend upon maximum delay and maximum Doppler frequency spread thus parameter calculation is reduced. Slepian sequences use the bandwidth, as the sharp pulses replace the regular rectangular pulses which cause spectral leakage and thus ICI. The MATLAB simulations of BER Vs SNR using Cyclic Prefix and Unique Word with and without two-dimensional Prolate function is suggested in this paper. It will increase spectral efficiency with reduced calculations .The two-dimensional prolate replaces rectangular pulses by Slepian pulses which increases energy concentration and thus reduction in ICI caused by multipath fading.