In this paper, we presents a passive radar imaging algorithm based on signals received from multiple television stations at various aspect angles and bistatic equivalence theorem. The algorithm reconstructs a taget im...
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A new method for estimating the VC dimension in advance is proposed, which can be taken as a principle for measuring the generalization performance' of SVMs. Our method adopts the two-order statistic of training s...
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For the purpose of improving the DOA estimation performance, we propose a new simplified temporal- Spatial maximum likelihood algorithm. Instead of using the discrete Fourier transform(DFT) filters, the proposed algor...
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This paper proposed a postprocessing method to improve watermark correlating detection based on analysis of the characteristics of image distortion noise. The extracted watermark is classified and processed, separatel...
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A new fragile watermarking technique is proposed for image authentication. A logo is embedded as the watermark for the integrity authentication and tamper detection. Different from most existing schemes, to resolve th...
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Recently bistatic synthetic aperture radar (SAR), especially spaceborne SARs, has attracted the attention of many radar researchers. Generally, the orbit of satellite for remote sensing purposes is an ellipse with sma...
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Synthetic aperture radar (SAR) is an imaging system which can provide high resolution images of earth surface. It transmits chirp signals and the received echoes are sampled into I and Q components, thus producing a h...
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In order to mitigate the Range-Doppler ambiguities inherent in a sparse aperture, high pulse repetition frequency is adopted to resolve Doppler ambiguous and waveform approach exploits temporal diversity to resolve ra...
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A fast correlation algorithm in SAR imaging is presented to lower down the computation burden of range compression and azimuth focusing processing. It is based on the decomposition method of DFT. In order to minimize ...
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The eigenspace-based linearly constrained minimum variance beamformer (ELCMVB) is presented in this paper, which combines the linearly constrained minimum variance beamformer (LCMVB) with the eigenspace-based beamform...
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