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We study the noise of a class-A dual-frequency vertical external cavity surface emitting laser at Cesium clock wavelength. Both the intensity noise and phase noise of the beatnote between the two orthogonal polarized modes are measured and modeled. The intensity noise of the two orthogonal laser modes and its correlation are well predicted by a theory based on modified rate equations. The phase noise...
We characterize third-dimension (3D) of channel measurements based on two dimension channel model with fully-synchronize propagation of first time LTE-A multi-user centralized multiple-input, multiple-output(MU-MIMO) with sixteen transmitter antennas and three users. By exploiting the spatial correlation of signals originating from neighboring receiving antennas, there is a need for an accurate and...
Because wind power has the natural characteristic of intermittent, fluctuation and randomness, large scale wind power will make negative influence on the safe and stable operation of power grid. So, based on the wind power actual data of a province in north China which possesses gigawatt level capacity of wind farms group, this article uses the maximum entropy spectrum estimation method to study the...
SAR complex image registration is one of the key steps of the interferometirc SAR and tomographic SAR. The complex correlation function based method is an common registration method. Generally in the application, the adopted SAR complex image is large width, however, the complex correlation functions of registration accuracy can only be guaranteed the high precision of a small scale registration in...
This paper proposes a novel modular design concept for package physical design, and a modularized and parameterized modeling technique for package model library creation. The proposed modular design reduces the physical design/review cycle by ~50% and can significantly improve the performance consistency. The modularized modeling technique requires the breakdown of the full package model into vertical...
Maintainability is an important product quality attribute that has significant influence on operational effectiveness and lifecycle cost. It is emphasized that maintainability has to be designed into product and standards or handbooks were developed to guide how the maintainability engineering is implemented. However, how to design product to meet maintenance needs is not explained clearly. Only some...
The electromechanical coupling phenomenon in CNC machine tool has an important influence on the dynamic precision of the feed system. The complicated dynamic characteristics and their evolutions with different parameters will aggravate the research difficulty of the electromechanical coupling mechanism. In this paper, taking SL250 lathe as the research object, the servo torque and mechanical structure...
The application of machine learning algorithms in wireless communications has attracted increasing attention due to the promising performance gains recently achieved. Static classification algorithms have been successfully applied to training protocols that adapt transmission parameters according to context information. However, in reality, there are many time-varying reasons for fading channel quality...
We consider a two-way relay system where two sources exchange information with the assistance of multiple, non-cooperative, relay nodes. Specifically, we propose a capacity upper bound for the two-way relay channel and derive the achievable regions for different relay strategies, such as the amplify-and-forward (AF), the decode-and-forward (DF) and the compress-and-forward (CF). Furthermore, the upper...
After introduced the C-C method of embedding window in state space reconstruction, this paper mainly calculates and analysis different time series samples of the Lorenz systems and Rossler systems with the method. The conclusion tells us the choice of reconstruction parameters with the C-C method is uncertain. So the embedding window theory is doubtful, and the independent choice of the state space...
The impact of inaccurate channel knowledge on the system performance of a cooperative multi-cell system is studied. Using optimization theory, we investigate the performance degradation due to optimizing the collaborative downlink transmit signals of multiple base stations (BSs) based on inaccurate channel knowledge. Two important sources of channel knowledge inaccuracy are considered: quantization...
A novel ensemble model is suggested to measure the similarity between two words. The authors apply ranking support vector machines to combine the results of existing similarity models. Both training and test data are extracted from the standard Miller & Charles dataset randomly. Evaluations by cross validation show that the ensemble model outperforms known similarity models for not only English...
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