FUZZY-MEASURE-FUZZY-RULE

一个简单的文本匀齐排版程序源代码，基于WIN32控制台的(A simple text smoothing Qi typesetting program source code, based on WIN32 console)

说明：  基于GUI的电弧炉对电网影响仿真软件，matlab编写。(GUI-based electric arc furnace of the power grids of the impact of simulation software, matlab prepared.)

智能电梯系统仿真用matlab程序实现，智能控制(ntelligent elevator system simulation)

Comparison of the performances of the LS and the MMSE channel estimators for a 32 sub carrier OFDM system based on the parameter of Mean square erro

调用函数来计算正，逆哈尔1-D DWT的主程序(Main program for calling functions to compute forward and inverse Haar 1-D DWT)

Data compression lectures part2

ni5641r模拟输入代码，并画功率谱估计。(ni5641r analog input,and draw power spectrum estimation.)

一维激波管初学小程序，供初学者参考，比较容易看懂。(One-dimensional shock tube novice applet for beginners, and relatively easy to understand.)

对数据做eeof处理，得到数据的空间模态和时间系数。(Matlab function of eeof)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)