pca

一个相当好用的matlab函数，由美国国家可再生能源实验室科研人员设计，可以计算太阳的直射维度和方位角。只要输入时间、观测地点即可。 (This algorithm is based on numerical approximation of the exact equations. The authors of the original paper state that this algorithm should be precise at+/- 0.0003 degrees. I have compared it to NOAA solar table (http://www.srrb.noaa.gov/highlights/sunrise/azel.html) and to USNO solar table (http://aa.usno.navy.mil/data/docs/AltAz.html) and found very good correspondance (up to the precision of those tables), except for large zenith angle, where the refraction by the atmosphere is significant (difference of about 1 degree). Note that in this code the correction for refraction in the atmosphere as been implemented for a temperature of 10C (283 kelvins) and a pressure of 1010 mbar. See the subfunction un_topocentric_zenith_angle_calculation� for a possible modification to explicitely model the effect of temperature and pressure as describe in Reda & Andreas (2003). )

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

插值和拟合 matlab算法实现 可以直接调用(Matlab interpolation and fitting algorithm can be directly called)

MATLAB Simulations for Radar Systems Design 书 仿真代码，按章节分好了。(MATLAB Simulations for Radar Systems Design code)

说明：  分数阶动态系统的数值算法Numerical Algorithm for Fractional Dynamic Systems(Numerical Algorithm for Fractional Dynamic Systems)

Mobile networks management

使用matlab_GUI编写，包括：扩展卡尔曼滤波，粒子滤波，去偏卡尔曼滤波和循环增益尔曼滤波的源程序，根据初始预测计算滤波值 再通过输入观测值进行卡尔曼滤波的仿真GUI界面程序(Matlab_GUI prepared to use, including: extended Kalman filter, particle filter, to the partial gain of Kalman filter and recycling thalmann source filter, according to the initial value of prediction filter observations through the input of the Kalman filter to simulation procedures GUI interface)

利用线性反馈移位寄存器产生周期为2^n-1，任意长度的m序列(The linear feedback shift register cycle is 2 ^ n-1, any length m-sequences)

关于大气MTF的资料，有助于理解大气MTF的作用，估计计算大气MTF的值。(The information on atmospheric MTF, help to understand the role of atmospheric MTF, estimate calculated atmospheric MTF value)

The given code contain Matlab code for the adaptive thresholding, This technique is more efficient than the normal gray level thresholding