matrixmethod

说明：  matlabpart3。matlab学习相关资料，适合初学者(matlabpart3. matlab learning the relevant information, suitable for beginners)

matlab程序设计函数讲解教程matlab programming tutorial explaining the function(explain the function matlab programming tutorial matlab programming tutorial explaining the function)

matalab similink 锁相环 仿真建模(matalab similink PLL simulation)

模式识别的fisher线性判别方法，包括学习文档和实验源代码。(Fisher linear discriminant pattern recognition methods, including documents and experiment to learn the source code.)

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)

HISTNORM Histogram normalized [...] = HISTNORM(...) works like HIST, but the frequency is normalized so that area sum is 1. Bonus usage! [...] = HISTNORM(..., plot ) plots and returns the output arguments. Be sure plot is the last argument. Example: data = randn (10000, 1) [xo,no] = histnorm(data, 101, plot ) hold on plot (no, normpdf(no), r ) hold off See also: HIST.

说明：  使用高斯混合模型（Gaussian Mixture Model）拟合风电场中预测误差分布(Using Gaussian mixture model to fit prediction error distribution in wind farm)

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.

matlab毕业编程【谷速软件】沉积的粒度数据的三维图 可以作为参考使用 在学习的过程中(Graduation matlab software programming [Valley] deposition speed three-dimensional map data granularity can use as a reference in the process of learning)

Matlab功能与法法上传，请采用 希望采用挺好挺全的(Matlab function and method of upload, please use)