LMI2

source codes for optimisation techniqes

算屈服点，延性系数 采用matlab编写的 通用屈服弯矩法(matlab )

一个基于人工势场的机器人路径规划的仿真程序源码，可以自行修改阈值。(An artificial potential field based robot path planning simulation program source code, you can modify thresholds.)

matlab调用sap2000计算分析代码示例(matlab call sap2000 computational analysis code examples)

模拟机器人在迷宫寻找出口的程序，使用蒙特卡洛算法定位，模拟测试找路程序(Simulated robot in a maze looking for export, the use of Monte Carlo algorithm to locate, find a way to simulate the test program)

Convert a color image between color representations. B = COLORSPACE(S,A) converts the color representation of image A where S is a string specifying the conversion. S tells the source and destination color spaces, S = dest<-src , or alternatively, S = src->dest . Supported color spaces are RGB R G B Red Green Blue (ITU-R BT.709 gamma-corrected) YPbPr Luma (ITU-R BT.601) + Chroma YCbCr / YCC Luma + Chroma ("digitized" version of Y PbPr) YUV NTSC PAL Y UV Luma + Chroma YIQ NTSC Y IQ Luma + Chroma YDbDr SECAM Y DbDr Luma + Chroma JPEGYCbCr JPEG-Y CbCr Luma + Chroma HSV / HSB Hue Saturation Value/Brightness HSL / HLS / HSI Hue Saturation Luminance/Intensity XYZ CIE XYZ Lab CIE L*a*b* (CIELAB) Luv CIE L*u*v* (CIELUV) Lch CIE L*ch (CIELCH)(Convert a color image between color representations. B = COLORSPACE (S, A) converts the color representation of image A where S is a string specifying the conversion. S tells the source and destination color spaces, S = ' dest <-src' , or alternatively, S = ' src-> dest' . Supported color spaces are ' RGB' R' G' B ' Red Green Blue (ITU-R BT.709 gamma-corrected)' YPbPr ' Luma (ITU-R BT.601 )+ Chroma ' YCbCr' /' YCC' Luma+ Chroma ( " digitized" version of Y' PbPr) ' YUV' NTSC PAL Y' UV Luma+ Chroma ' YIQ' NTSC Y' IQ Luma+ Chroma ' YDbDr' SECAM Y ' DbDr Luma+ Chroma ' JPEGYCbCr' JPEG-Y' CbCr Luma+ Chroma ' HSV' /' HSB' Hue Saturation Value/Brightness' HSL ' /' HLS ' /' HSI ' Hue Saturation Luminance/Intensity' XYZ ' CIE XYZ' Lab ' CIE L* a* b* (CIELAB)' Luv ' CIE L* u* v* (CIELUV)' Lch ' CIE L* ch (CIE)

摘 　要:阐述了数字滤波器的设计方法 ,分析了运用 MATLAB软件进行 IIR和 FIR数字滤波器设计的过程。 研究 与实践表明:教学中 ,运用 MATLAB软件进行数字滤波器设计及实现 ,可增强学生的感性认识 ,加深对数字滤波器 设计基本原理的理解 ,改善教学效果。(Abstract: This paper describes the design of digital filter methods, analysis of the use of MATLAB software IIR and FIR digital filter design process. Research and practice shows that: teaching, the use of MATLAB software digital filter design and realization of perceptual knowledge to enhance students understanding of the basic principles of digital filter design understanding, enhance the effectiveness of teaching.)

matlab unit commitment

这5个小程序分别为：用Monte Carlo随机法圆柱相交体的体积；用刘徽割圆法计算pi；梯形法.辛普森法计算圆周率；蒲丰掷针实验程序；线性函数的迭代(This five small programs were: using Monte Carlo random method cylinder intersects the volume cyclotomic method with Liu Hui pi trapezoidal method Simpson method to calculate pi Buffon throw needles experimental procedures linear function of iteration)

说明：  压缩感知的基于正交化重构算法,该算法用matlab实现，(Orthogonalization compressed sensing reconstruction algorithm, the algorithm using matlab,)