guess_your_idea

Simple face and eye detection MATLAB Release: R13 You can use this codes for face detection based on color segmentation and eye region detection.

adaline first order eddy brake

基于二维激光位移传感器的钢轨磨耗动态检测系统(Simple and fast rail wear measurement method based on structured light)

MTI雷达（动目标检测雷达）能够抑制杂波保留目标信号，本人提供了单延迟线MTI对消器频响，双延迟线MTI对消器频响，利用参差重频消除盲速影响，讨论MTI雷达参差比取不同的值对盲速的影响的matlab仿真源代码MTI_radar (MTI radar (moving target detection radar) can suppress clutter to keep the target signal, I provide a single delay line MTI canceller response, dual delay lines MTI canceller response, the use of repetition to eliminate blind speed mixed effects discussed MTI Radar varies on different values ​ ​ than the blind speed of matlab simulation source code MTI_radar)

这是PSO中的流程图,用于各种PSO编程,它包含了4个.与基本的程序对照起来用比较方便.(This is a flow chart of PSO, PSO for a variety of programming, which includes 4. And basic procedures were more convenient to use.)

：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.)

基于最小错误概率的贝叶斯分类，用于数字识别分类(Based on minimum error probability Bayesian classifier for Digital Identification and Classification)

Application demo for MPU6050

基于SPEA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(based SPEA methods of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

基于LCL的三相逆变器并网恒功率PQ控制模型，输出稳定，谐波滤除效果非常好(LCL-based three-phase inverter and constant power PQ network control model, output stability, harmonic filter effect is very good)