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In high-rate data orthogonal frequency division multiplex (OFDM) communication systems, many encountered channels trend to have the structure of sparse multipath. The systems over multipath channels usually require that the channel response be known at the receiver and thus channel estimation is required. In this paper, a novel scheme based on the typical least square (LS) and sparse reconstruction...
Fingerprint scaling is an important issue for fingerprints from different capture sensors. A good scale would process the resolution difference and somewhat the distortion of fingerprints. In this paper, we develop a coarse-fine method to estimate the optimal scale between the input and template fingerprints. The global scale is coarsely calculated based on the ridge distance map and finally determined...
Current passive reverberation methods have certain limitations when applied into practice, which would null boundary reverberation and target echo simultaneously. As a solution, a passive reverberation nulling method based on reverberation subspace estimation for target enhancement is proposed in this paper. In this method, the reverberation subspace for target range cell is not obtained directly...
The performance of automatic fingerprint recognition systems highly depends on the quality of the fingerprint images. So it is important to implement a fingerprint image enhancement process before feature extraction and matching stages. In this paper, we propose an effective filtering method based on a fractional calculus mask to enhance fingerprint image. First an eight direction image is obtained...
Accurate estimation of fingerprint orientation field is an essential module in fingerprint recognition. This paper proposes a novel technique for improving fingerprint orientation field estimation by fingerprint orientation model based on weighted 2D fourier expansion(W-FOMFE). The motivation for the proposed method can be found by: 1)the original FOMFE is sensitive to abrupt changes in orientation...
As trust management can address the new security challenges in pervasive computing environments, we present our pervasive trust model TM-RMRP which is composed of input factors and trust evaluation. With the model presented, anonymous entities can collaborate with trustful parties without central security managers. To reduce or even avoid inappropriate or inaccurate recommendations, we introduce the...
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