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With the presence of noise floor, characteristic points of signals are submerged easily in conventional cyclostationary feature detection. In this paper, a new cyclostationary feature detection method based on the correlation between signal and noise is proposed for detection of OFDM based primary users. The proposed scheme aims to improve the noise robustness through making the utmost of the information...
In order to obtain better performance at low SNR regimes and reduce computational complexity in wideband sensing, a novel cyclostationary spectrum sensing (CSS) algorithm exploiting partial QR decomposition is proposed in this paper. At the first step of the CSS algorithm, spectral correlation functions (SCFs) for sampled signals that exhibit cyclostationary are calculated by secondary user (SU) to...
Spectrum sensing is a key component in cognitive radio networks, which allows secondary users to communicate without causing harmful interference to primary users. Cyclostationary feature based spectrum sensing has proven preferable to other methods under low signal-to-noise ratio conditions. To detect the presence of primary signals, conventional cyclostationary feature based schemes tend to simply...
As an effective approach to improve spectrum efficiency, cognitive radio network make it possible for secondary users (SU) to share the spectrum with primary users (PU), on the condition that the primary users have preemptive priority. In this paper, we applied the Dynamic Chinese restaurant game, which ideally modeled the spectrum sensing and access in cognitive network. We propose the use of Multilayer...
Deep Belief Networks (DBN) is a very powerful algorithm in deep learning. The DBN has been effectively applied in many areas of machine learning, such as computer vision (CV) and natural language processing (NLP). With the help of deep architecture, their accuracy has been largely improved and their human annotation data which traditional machine learning algorithm extremely rely on could be reduced...
This paper presents an improved decryption method aiming at covert Orthogonal Frequency Division Multiplexing (OFDM) transmission with cyclic delay diversity (CDD) featured multiple input multiple output (MIMO) technology. Particularly, we take advantage of the inherent sparse structure of multi-path wireless channel as well as Compressive Sensing (CS) technology, which has attracted a considerable...
Considering the inherent characteristics of incomplete fingerprint: local feature loss and global information distortion, the recognition progress has been mainly restricted by two critical problems: how to precisely extract informative features and still with compact representation of the incomplete fingerprint; and how to effectively measure the similarity between fingerprint images. In this paper,...
Tree pruning is an effective algorithm to reduce the complexity of sphere detection (SD) for multiple-input multiple-output (MIMO) communication systems. How to determine the tree pruning rule, as well as by what the tradeoff between the performance and the complexity can be achieved, is still an open problem. In this paper, a tree pruning algorithm is proposed based on minimum mean square error (MMSE)...
FFT and IFFT are used to achieve two-dimension parallel acquisition for GPS signal. But peak of correct result is declined because of frequency resolution and navigation data transition and it results in error detecting. A method in frequency domain was proposed to ensure that the most probable Pseudo Random Noise (PRN) code phase and Doppler frequency could be detected. As the simulation showed,...
It is very important to detect the reference point effectively and accurately, especially in nonminutiae based fingerprint matching and fingerprint classification. In this paper, an effective algorithm based on block level for fingerprint reference point detection is proposed to simplify detection process and improve accuracy of the position of the point. The method is simple in the preprocessing...
Adeno-associated virus (AAV) and the other parvoviruses have long been known to inhibit proliferation of nonpermissive cells. The mechanism of this inhibition is not thoroughly understood. To learn how AAV interacts with host cells, we have begun an investigation into AAV's relationship with adenovirus (Ad), AAV's most efficient helper virus. AAV, but not UV-inactivated AAV, delayed Ad-induced cytotoxicity...
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