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Can privacy of individuals in an anonymized social graph be threatened by a handful of structural features i.e., Without knowledge of link-level connectivity? The answer is yes. We define threatening privacy as being able to narrow down each anonymized individual's identity to a small set of known individuals that is most likely to include the anonymized individual. We call this set the Identity+...
Owning to the advantage of an increase in spectral efficiency by reducing the transmitted pilot tones, compressed sensing has been widely applied to pilot-aided sparse channel estimation in OFDM systems. In this paper, we focus on increasing the accuracy of channel estimation and propose a novel sparse channel estimation method that takes the effect of the additive noise into consideration. In the...
Monochromatic noise always interferes with the interpretation of the seismic signals and degrades the quality of subsurface images obtained by further processes. Conventional methods suffer from several problems in detecting the monochromatic noise automatically, preserving seismic signals, etc. In this letter, we present an algorithm that can remove all major monochromatic noises from the seismic...
In ground-penetrating radar (GPR) surveys, the GPR data are always contaminated by high-amplitude clutter noise which consists of the director transmitter to receiver signal (also called crosstalk) and antenna ringdown. The crosstalk and antenna ringdown overlay severely the shallow reflection signals. The commonly used approach to filter out the clutter noise is to subtract the mean trace which can...
In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an image important area map (IIAM) is calculated for the protection of edge and structure regions during denoising. Therefore, improved version of NL-means is carried out, which uses a novel...
Restoration quality of motion-blurred image is highly dependent on the evaluation accuracy of the motion blur parameter. The motion blur direction and extent parameters can be determined by a single image without any prior knowledge. A linear motion blur parameter identification method, which is based on the cepstrum domain obtained from the intentional restored image, is proposed in this paper. With...
Aim at the traditional natural seismic signal collection system has disadvantage of narrow wave band and data collection quantity is too large, a self-adaptive seismic signal collection recording system based on ARM (advanced RISC machines) is presented in this paper. The MEMS acceleration sensor chip with the characteristic of good low-frequency response and high sensitivity is used to detect seismic...
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