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说明：  基于matlab GUI的数字滤波器源程序(The digital filter based on source code matlab GUI)

在悬架matlab仿真中，求解加速度、悬架动挠度，轮胎动位移的功率谱密度(Suspension matlab simulation, solution acceleration, suspension deflections, tire displacement power spectral density )

最优化算法 PSO.m POWELL.m 互信息尺度 MI.m EMI.m RMI.m HiMI.m GMI.m FPMI.m(Optimization algorithm PSO.m POWELL.m-scale mutual information MI.m EMI.m RMI.m HiMI.m GMI.m FPMI.m)

摘要:本算法是在经典 Sobel算子基础上 ,结合汽车本身的实际情况 ,增加了 6个方向模板 ,同时利用基于 L范数的各同性扩散去噪模型消除噪声 ,最终得出汽车轮廓图。仿真结果表明:该算法对汽车图像的噪声干扰 有较强的抑制能力 ,汽车轮廓提取定位更准 ,精度更高 ,图像更清晰。 关键词:边缘检测算法 车辆轮廓 噪声 Sobel算子

一些基本的最优化方法的matlab程序，方便大家学习参考(Some basic optimization methods matlab procedures, facilitate learning reference )

constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)

matlab图像处理示例详解，杨丹，赵海滨等，书中的源程序(Detailed matlab image processing example, Dan Yang, Zhao Haibin, etc., in the book of the source)

运用星座图重排策略的HARQ方案，与chhase combined 方案的比较仿真 (Using constellation rearrangement strategy HARQ scheme, comparing simulation program chhase combined)

Application Architecture Guide v2，NET架构设计的参考书籍(Application Architecture Guide v2, NET architecture design reference books)

快速扩展随机生成树算法，迭代自组织数据分析，用于时频分析算法。( Rapid expansion of random spanning tree algorithm, Iterative self-organizing data analysis, For time-frequency analysis algorithm.)