ASCAT365

matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

MATLAB程序设计之数值积分和方程算法设计教程(MATLAB programming of numerical integration and equation algorithm design tutorial)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

说明：  AR谱估计算法的matlab仿真，包括Yule-Walker方法、协方差方法、修正协方差方法和burg递推法等(AR spectral estimation algorithm matlab simulation, including the Yule-Walker method, covariance method, modified covariance method and the recursive law burg)

matlab实现SDH分解 RGB显示为彩图(Matlab achieve SDH decomposition RGB display)

This code describes the blind channel estimation problem for the estimation of different estimation schmes.

对振动信号进行频域处理包括：信号谱分析，matlab中没有的窗函数处理，三分之一倍频程处理、、、(The vibration signal of the frequency domain includes: signal spectrum analysis, the window function in MATLAB no, 1/3 octave processing,,,)

说明：  实用化工计算机模拟 Matlab与化工数值计算-第2讲(practical computer simulation of chemical processes)

一些基本的做copula的matlab程序，可以画累计分布函数图。(Some of the basic copula matlab program, you can draw the cumulative distribution function diagram.)

This tutorial is intended for those who want to learn basics of MATLAB programming language. Even with a limited knowledge of this language a beginning programmer can write his/her own computer code for solving problems that are complex enough to be solved by other means. Numerous examples included in this text should help a reader to learn quickly basic programming tools of this language. Topics discussed include the m-files, inline functions, control flow, relational and logical operators, strings, cell arrays, rounding numbers to integers and MATLAB graphics.