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刘金坤先进PID控制第二版第三章的仿真程序(Advanced PID control刘金坤Chapter III of the second edition of the simulation program)

基于粒子群优化算法（PSO）的类间方差估计（Otsu）(Based on Particle Swarm Optimization (PSO) of the between-class variance estimation (Otsu))

本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别 中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其 它们在目标识别中的应用技术。(The main research of this paper is Gab. : wavelet neural network algorithm and its application in gray image target recognition In the application of. Research involving neural network theory, the theory of wavelet analysis and wavelet neural network theory and its Their application in target recognition.)

十字路口车流通量及车身颜色的统计通过MATLAB创建系统对象，用于读入待处理视频，用于色彩空间转换、检测出包含汽车运动的图像块、用高斯混合模型检测背景、对检测出的运动车辆进行框画、标注检测到车辆的个数用于显示结果。颜色提取算法采用 RGB 颜色模型，利用MATLAB进行仿真(Crossing the circulation of the car and body color statistics by MATLAB to create object system, used to read the video to be processed and used for color space conversion, detect image blocks comprising the sports car, with Gaussian mixture model background detection to detect the moving vehicle frame painting, mark inspection to the vehicle number are used to display the results. Color extraction algorithm using RGB color model, using MATLAB simulation )

本程序主要进行两个时间序列的互相关计算。可用于信号降噪分析。(This program mainly carries out the cross correlation calculation of two time series. It can be used for signal noise reduction analysis.)

使用matlab进行gif图片的生成，可画函数图像以及不稳定流程，3种模式分别对应3种算法(Use matlab to generate a gif image, the image can be painted functions and unstable process, three modes corresponding to the three algorithms)

H桥DCDC+H6DCACmatlab仿真(DCDC+H6DCAC Matlab Simulation)

遗传算法解决求解带约束的优化问题明确遗传算法求解问题的一般思路和编码设计(Genetic Algorithm for solving constrained optimization problems with a clear genetic algorithm from the general ideas and Coding Design)

preprocessing step codes for speech enhancement

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)