Advanced Materials Research Vols. 989-994

Abstract: In order to improve the ensemble of color image, this paper proposes homomorphism decomposition—wavelet enhancement algorithm based on the basic principle of Wavelet Transform. We separate the incidence component and reflection component of the image by homomorphism decomposition, and then combine wavelet transform to enhance image as well as reserve details. The experimental result shows that the adaption and effect is obviously superior to MSRCR.

Abstract: Deep data-mining methods of fault signal in large-scale communication system are researched. Although with the characteristic of frequency uniformity as signals distribute in each reaction zone, common method of fault signal detection based on shortwave dispersing is invalid employing in large-scale communication system, which presents the absence or instability of fault signal. For this reason, a method based on particle swarm optimization is proposed for fault signal detection in large-scale communication system. As reaction speed and activity scope within the whole particle swarm are replaced, accurate results are achieved. Taking particle swarm optimization, it is detected that whether there is a fault in communication systems. The experimental results show that proposed method in signal fault detection process can greatly increase accuracy of signal fault detection, as plays a greater role in future.

Abstract: The wavelength division multiplexing passive optical network (WDM-PON) incorporated with colorless optical network units (ONUs) and centralized light source is the most promising approach for next generation PON. A cost-effective architecture utilizing coherent detection for upstream (US) signal is proposed to enlarge the reach of such WDM-PON systems. Simulation results show that a symmetric 10-Gbps WDM-PON with 80km error-free transmission is realized without using any optical amplifiers.

Abstract: The illegal signal such as the intrusion signal which wanted to be embedded in the normal signal was analyzed for the extraction, and made the network environment be safe and pure, so the signal detection problem was shown as the key and important problem in the assurance of the safety of the network. The signal processing principle for the non stationary signal was analyzed firstly, and the new signal extraction method based on the Wigner Ville distribution and Hough transformation theory of the time frequency analysis. The original signal was filtered and detected, the spectrum analysis was got as the same time for the testing the detection property in the simulation. Simulation and experiment was implemented on the objects of the network intrusion signal with the real collection in the database. Simulation result shows that the performance of decreasing the noise and filtering is very good. The intrusion signal can be detected and extracted perfectly, and also it shows good value in the analysis of the network safety in practice.

Abstract: The abnormal data of communication networks are complex and diverse, it is difficult to recognize and mine the abnormal data accurately and effectively with traditional methods. In order to improve the recognition accuracy of communication network, a data mining algorithms based on the method of communication network abnormal data recognition is presented. Firstly, the communication network data samples are analyzed for fuzzy c-means clustering in order to obtain the degree of membership matrix. Secondly, the training samples of communication network abnormal data mining are selected according to the membership. At last, the training samples are put into the least square support vector machine learning, which establish the model of abnormal data identification in communication network. The performance of the algorithm was tested by simulation tests, and the results show that, the abnormal data recognition efficiency and accuracy in this paper was improved much more than the traditional identification methods.

Abstract: IC card is a product of microelectronics, computer and information technology, with the development requirements of its wide application and digitized, one-card system will inevitably become a trend. The operation mode of one-card System with "one card, one database, one network", can both realize the norms for user management, but also provide important information for managers. Meanwhile, as an important part of digital one-card systems is one of the foundation works of information collection in the digital environment. It has the great significance for management and decision support of users.

Abstract: The OFDM technology is applied in the mobile communication system of underground coal mine, the wireless communication system channel of underground coal mine is researched. The underground channel model is established, and the simulation is taken for testing the performance of system. The simulation results show that the OFDM technology can be applied in the mobile communication system in underground coal mine, and the transmission rate of the system and the ability of anti-interference are improved.

Abstract: Image registration is widely used in the areas of image fusion, target tracking, remote sensing data analysis, medical image analysis such as organization pathological changes, under the constantly exploring to the image registration technology. In this paper astronomical image matching based on the cross-correlation algorithm is proposed and we focuses on adopting the registration form using the cross-correlation method after segmenting the astronomical images. The method can effectively solve the difficulties of the overall matching, represent the salient regions of features and implement local matching.

Abstract: A processing method based on VFD Filter is proposed in this paper for implementing the high dynamic simulation of TT&C signal. The method adopts the store-delay way which could implement integer delay for static data and adopts the VFD filter to implement high accuracy fractional delay for the integer delay signal.The simulation and analysis results show that the proposed method not only can accurately and commendably implement high dynamic simulation for TT&C signal,but also suits for different form signal. It provides a good way for dynamic simulation in the compatible test of TT&C equipment.

Abstract: To deal with the image contrast and color fidelity details problem in the traditional Center around the Retinex image enhancement algorithms, Enhancement Algorithm of Color Fog Image Based on the Adaptive Scale and Multi-parameter correction is proposed. First, the saturation component of the HSI color space is applied to the nonlinear correction. Then according to the brightness of the image pixel values, it can calculates the scale of the Gaussian kernel, and then proceeds to do the multi-parameter correction for the estimates of the reflection component, obtains the multi-scale image by the weighted average. At last, the obtained image is used to adjust the display correction, image sharpening and smoothing, and being superimposed reflection components, achieving the image enhancement. Through the subjective observation and objective evaluation, this algorithm is better than the traditional center around Retinex algorithm in treatment effect, and also saves a large amount of processing time.