Huang Jingxiong

Target classification by conventional radar

An approach to aircraft target classification by conventional radar is presented that uses the engine modulation on radar echoes from the detected target. The echo series are rearranged into a graph and the modulation signatures are extracted by an optical Fourier transform. A semi-connected backpropagation neural network classifier is trained for classification. Experiment results on an air defense surveillance radar show the effectiveness of the proposed method.

Study on tamper-proofing of digital media

The applications of fragile digital watermarking for the tamper-proofing of digital media are discussed in this paper. A novel fragile watermarking approach and related tamper detection are proposed. Taking still image as an example, the watermark are embedded in the discrete wavelet domain of an image, so tamper detection is possible in localized spatial and frequency regions. Specially, this method can provide information on specific frequencies of the image that have been modified. This is different to previously proposed techniques. The result of experiment shows that this method is effective.

Sub-sampled IFFT based compressive sampling

In this paper, a new approach based on Sub-sampled Inverse Fast Fourier Transform (SSIFFT) for efficiently acquiring compressive measurements is proposed, which is motivated by random filter based method and sub-sampled FFT. In our approach, to start with, we multiply the FFT of input signal and that of random-tap FIR filter in frequency domain and then utilize SSIFFT to obtain compressive measurements in the time domain. It requires less data storage and computation than the existing methods based on random filter. Moreover, it is suitable for both one-dimensional and two-dimensional signals. Experimental results show that the proposed approach is effective and efficient.