一次空间普估计算法matlab开发代码

基于快速傅立叶变换的电机中的谐波分析 和提取(Motor based on fast Fourier transform analysis and extraction of the harmonic)

ASK、BPSK、FSK3种调制方式的matlab实现(ASK, BPSK, FSK3 kinds of modulation matlab implementation)

非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m(Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M)

基于EKF的神经网络自适应在线学习算法，包含例子和文档。(We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and noise estimation. In environments where data arrive sequentially, techniques such as cross validation to achieve regularization or model selection are not possible. The Bayesian approach, with extended Kalman filtering at the parameter estimation level, allows for regularization within a minimum variance framework. A multilayer perceptron is used to generate the extended Kalman filter nonlinear measurements mapping. We describe several algorithms at the noise estimation level that allow us to implement on-line regularization.We also show the theoretical links between adaptive noise estimation in extended Kalman filtering, multiple adaptive learning rates, and multiple smoothing regularization coefficients.)

人工鱼群一种算法，及其在水库分析中的应用(Artificial fish an algorithm, and the application of analysis in the reservoir )

是路径规划的实用方法，基于混沌的模拟退火算法，各种资源分配算法实现，有井曲线作为输入可计算其地震波的衰减,包括主成分分析、因子分析、贝叶斯分析，外文资料里面的源代码。

初学者必备 完整的MATLAB入门到精通书本辅助实验程序 学后基本可以上手(Complete beginners MATLAB entry to the master book assisted experimental program learn basic can get started)

智能控制（刘金琨版）第8章第1题课后练习MATLAB程序(Intelligent Control (Hangzhou Press Edition) Chapter 8 Question 1 Homework MATLAB program)

球体重力异常正演程序，公式来自教材。自己编写的程序，使用的语言是matlab，分享给大家。(This a matlab code for gravity anomaly forward.)

matlab实现lsb替换算法，包括水印嵌入、提取及PSNR计算评估。(Matlab implements LSB replacement algorithm, including watermark embedding, extraction and PSNR computation and evaluation.)