Based on the characteristics study of binary decision diagrams (BDDs) of logic functions, a method using the characteristic triangle (CT) to detect logic functions suitable for XOR logic implementation is presented an...
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Based on the characteristics study of binary decision diagrams (BDDs) of logic functions, a method using the characteristic triangle (CT) to detect logic functions suitable for XOR logic implementation is presented and a corresponding algorithm is developed. The proposed algorithm is implemented in C and tested on MCNC benchmarks. The experimental results show that the proposed algorithm is efficient compared with published results.
This paper not only proposes the detection algorithm of traditional ring signal tones, but also researches the Color Ring Back Tone which is well popular recent years. Different testing methods are given according to ...
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This paper not only proposes the detection algorithm of traditional ring signal tones, but also researches the Color Ring Back Tone which is well popular recent years. Different testing methods are given according to the difference of music color ring tone and voice prompt color ring tone. Tested on RMTS (Real-world Multi-channel Telephone Speech) database, experiments show that the detection rates of ring tone, music color ring tone, voice prompt color ring tone and virtual speech reach 100%, 98.5%, 98% and 97.5% respectively, 98.5% totally.
In this paper we propose a new architecture for detection of hybrid layered space-time block codes (LSTBC). The proposed receiver is based on a successive interference cancellation (SIC) scheme and the QR decompositio...
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In this paper we propose a new architecture for detection of hybrid layered space-time block codes (LSTBC). The proposed receiver is based on a successive interference cancellation (SIC) scheme and the QR decomposition, which leads to a suitable hardware implementation. It was designed for zero-forcing (ZF) criterion; reduced complexity is achieved by means of an adequate rearrangement of the channel matrix elements. Simulation results show that this new architecture outperforms similar, recently reported detectors in terms of bit error rate under spatially correlated channels.
An algorithm to blindly detect frequency hopping (FH) signals corrupted by white Gaussian noise (WGN) is presented. Any parameters of FH are assumed to be unknown, and the noise power can be either known or unknown. T...
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An algorithm to blindly detect frequency hopping (FH) signals corrupted by white Gaussian noise (WGN) is presented. Any parameters of FH are assumed to be unknown, and the noise power can be either known or unknown. The algorithm is based on the difference in cyclostationarity (CS) between FH signal and WGN. The module of estimation of cyclic autocorrelation is picked up with available received signal as the test statistic. A WGN of which power equals to the average power of received signal is constructed at the received end, and then the maximum module of estimation of cyclic autocorrelation is computed with this WGN as the detection threshold. Simulation results have proved that the proposed algorithm is adequate to the environments in which signal-to-noise ratio (SNR) is higher than -3dB.
This study focuses on testing and improving the available scene change detection methods developed for bit streams compressed with the latest coding standard H.264/AVC.
This study focuses on testing and improving the available scene change detection methods developed for bit streams compressed with the latest coding standard H.264/AVC.
With the development of WSNs in the military and commercial fields, the security of WSNs is becoming more and more important. The security threats of wireless sensor networks (WSNs) come from not only the attacks of e...
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With the development of WSNs in the military and commercial fields, the security of WSNs is becoming more and more important. The security threats of wireless sensor networks (WSNs) come from not only the attacks of external attackers but also the byzantine behaviors and selfish behaviors of internal nodes. The classical security mechanisms, namely cryptography and authentication, can prevent some outsider attacks, however, they are noneffective to the attacks and the anomaly behaviors of internal nodes. A reputation-based model for malicious node detection in WSNs is proposed in this paper. In this model, the beta distribution is used to describe the reputation distribution, and the indirect reliability of third-party nodes is introduced. The simulation results show that the proposed model has better performance in terms of resisting the malicious deceit behaviors of high credit-grade nodes.
Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz ex...
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Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH arrhythmia database is used to test the proposed QRS complex detection algorithm.
This paper investigates a two-dimensionally spread orthogonal frequency and code division multiplexing (OFCDM) system with multi-code transmission and multiple input multiple output (MIMO) multiplexing, where desired ...
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This paper investigates a two-dimensionally spread orthogonal frequency and code division multiplexing (OFCDM) system with multi-code transmission and multiple input multiple output (MIMO) multiplexing, where desired data signals are interfered by not only co-channel signals from other transmit antennas (or multi-antenna interference (MAI)), but also multi- code interference (MCI) from other code channels on the same antenna. Combining the iterative detection in the space domain and the hybrid MCI cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection algorithm is proposed to cancel out MAI and MCI. For the 0 th loop of the joint iterative detection, a 2-stage hybrid detection is needed in the frequency domain, while for later loops, a 0-stage hybrid detection or pure MMSE is sufficient. The system performance improves as the number of loops in the joint iterative detection increases. Moreover, using joint iterative detection, larger frequency diversity gain can be achieved and the performance improves as the frequency domain spreading factor increases.
A fast and effective fade detection algorithm is proposed in this paper, which directly operates in compressed domain and suitable for real-time implementation. By analyzing the prediction directions of B frames, whic...
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A fast and effective fade detection algorithm is proposed in this paper, which directly operates in compressed domain and suitable for real-time implementation. By analyzing the prediction directions of B frames, which are revealed in the macroblock types, the candidate fades can be found. Then, uncommon intracoded macroblocks of the P frame can be applied as an indicator of fade. As a result, locating fades are operated by a sliding window. Extensive experiments illustrate that the proposed algorithm achieves superiority measured by recall and precision rates, providing a useful technique for fast and on-line video content processing.
This paper presents a distributed algorithm for critical area detection in satellite imagery. The detection of critical area is very important in natural disaster detection and control. The algorithm uses the distribu...
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This paper presents a distributed algorithm for critical area detection in satellite imagery. The detection of critical area is very important in natural disaster detection and control. The algorithm uses the distributed change detection methods for multiple spectral bands in satellite images and combines changes which have appeared during a period of time. The result shows a critical area for analyzed time interval. The algorithm is distributed for support a large amount of data. The distributed approach shows a decrease in processing time with the increase of the number of workers. The presented algorithm represents a component from MedioGRID system, which implemented a real-time satellite image processing system for extracting relevant environmental and meteorological parameters on Grid systems. The critical area detection application will be integrated in Grid environments.
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