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利用EM算法结合颜色直方图的目标跟踪，利用EM算法实时更新颜色直方图(Using EM algorithm combines the color histogram for target tracking, real-time updates using EM algorithm color histogram)

图像配准中的两幅图像的归一化互信息计算方法代码(Image registration of two images of the normalized mutual information method code)

Creates wireless sensor network in matlab

Predictive direct power control (P-DPC) applied to voltage source pulse-width-modulation (PWM) rectifier was introduced in this paper. Based on the model of power prediction, voltage vectors were selected according to minimizing power errors in a fixed time interval, which results in a constant switching frequency control for P-DPC. It simplifies the implementation of P-DPC procedure by selecting switching states based on the principle of space vector modulation (SVM). In order to eliminate power errors caused by control delay, a detailed control delay compensation scheme was designed. Experimental results based on a 2kW prototype were presented, which showing that P-DPC has a faster power response compared to standard voltage-oriented-control (VOC) techniques. Besides, the dynamic performance of the system is also improved significantly by control delay compensation.

建立了四旋翼飞行器悬停姿态动力学模型，并进行了仿真分析，在开环控制的前提下分析了结构增稳和橡筋阻尼方法对飞行器平台姿态定性的影响，并提出了一种开环控制下实现稳定悬停的策略。(The establishment of a four-rotor aircraft hovering attitude dynamics model and simulation analysis, under the premise of open-loop control analyzes the impact of structural and elastic damping augmentation method for aircraft platform attitude qualitative and presents an open loop realization of stable hover control strategy.)

分形与图形设计，有Julia集，Mandelbrot集，Newton迭代以及三维混沌吸引子设计出的图像(Fractal and graphic design, there are Julia sets, Mandelbrot set, Newton iteration, as well as the design of three-dimensional chaotic attractor of the image)

assignmant for array antenna

This function used to calculate PCA of image.

three phase Bridge Rectifier Circuit with different type of RLE with Simulation in matlab.

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.