一个压缩传感算法程序

Kalman filter examples, kalman_smoother

实现了msk的调制解调，测试过的，绝对好用(Msk modulation and demodulation implemented, tested, and absolutely easy to use)

有关MATLAB的图像绘制功能的ppt,很方便，很实用的(The MATLAB' s image rendering capabilities of the ppt, very convenient and very practical)

function [x, hist] = secant(x, f, tola, tolr) SECANT This a secant code with no line search. This code terminates on small relative-absolute errors function [X, HIST] = SECANT(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR = relative error tolerance Output: X = approximate result

汽车发动机电子节气门离线仿真程序，采用matlab、simulink进行编写(Offline engine electronic throttle simulation program, using matlab, simulink to write)

说明：  这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)

资源描述基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256

各类模糊控制程序，适合做锅炉系统的来做，希望对大家有用。(FUZZY CONTROL)

光伏最大功率点跟踪控制simulink仿真模型(Photovoltaic Maximum Power Point Tracking Control simulink simulation model)

Matlab 代码，用遗传算法解决01背包问题(Matlab code, using genetic algorithms to solve knapsack problem 01)