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This paper investigates a novel structure for the Winograd number theoretic transform algorithm (WNTA) to reduce the computation load. The proposed computing structure exploits the multiple constant multiplication to replace the standard multiplication, then, the multiplication of the WNTA can be realised in a shift-add way, which definitely decreases the complexity of WNTA and maintains the computing accuracy. Typical applications, such as the convolution and the filtering operation, are tested by computer simulations, while the result demonstrates that the proposed scheme is superior to conventional schemes in terms of the trade-off between the complexity. [ABSTRACT FROM AUTHOR]

SUMMARY Representing the channel varying rate and the mobile speed of a mobile terminal directly, Doppler shift is an important parameter in vehicular mobile communications and therefore is widely used in mobile target detection and adaptive applications. Hence, this paper puts forward an accurate Doppler shift estimator in mobile communications with high vehicle speeds, which can also be treated as a vehicular speed estimator due to the well-known relation between the Doppler shift and the mobile speed. Specifically, the proposed estimator is based on the channel level crossing rate, and an iterative process is presented to achieve signal-to-noise ratio (SNR) insensitive estimates in accordance with the level crossing rate estimation error analysis. Moreover, we prove the convergency of the iterative Doppler shift estimator in theory. Computer simulations conducted under a wide range of noise corruption clearly show that the proposed estimator substantially outperforms several existing estimators in terms of accuracy and achieves a good SNR-insensitive performance in a wide range of velocities and SNRs. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]