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1、掌握MATLAB优化工具箱的基本用法，对不同算法进行初步分析、比较。 2、练习实际问题的非线性最小二乘拟合。(1.Understand the basic usage of Matlab optimization tool box. Analize and Compare different algorithms. 2. Practise nonliear minimum second order fitting using practical problems.)

Provides an implementation of AttributeSet on top of an XmlPullParser.

this is can apply to run simulink

计算配电网是否满足的辐射状约束,可以作为配电网重构的其中一个约束。(Calculated radial distribution network meets the constraints)

This is the code for contourlet transform using 9-7 bior filters and 23-45 filters..

risk Granger 因果关系检验模型(risk Granger)

this file creates a snake around the image

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)

ensemble averaging of a signal

混沌理论教材，从不同的角度处理数据，利用最小二乘法消除线性趋势，结果好于差分方法。(Chaos theory textbooks, processing data a different angle, eliminating the use of least squares linear trend, the result is better than the differential method.)