codekole

new model for IDGFM gozare khatasaz

说明：  Matlab实现多线性主成份分析(MPCA)(Matlab multi linear principal component analysis (MPCA))

介绍了kf,ekf,ukf ,pf ,upf 的程序代码，是一个比较全的程序代码(Introduced kf, ekf, ukf, pf, upf of program code, is a more all the program code)

人脸识别系统，matlab编写的，代码，具体里边有说明(Face Recognition System, matlab written code, specifically described inside)

CODE FOR COLOR IMAGE COMPRESSION USING QUANTIZATION ALORITHM. VECTOR QUANTIZATION.

IP1001 circuit application

IEEE papers for wind energy

用于海洋_气象研究的matlab工具箱,内有matlab代码，算例结果展示图片(matlab tool box for ocean and meteorology study.)

calculating the square root of A by Newton method used to calculate the root of A by the method of Newton: usual and the modified method

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.