chirp

mallat快速算法实验报告 及实现算法(mallat fast algorithm and the algorithm reports experiment)

mimo信道、滤波器等实用的仿真还附有对应的说明文件。(simulation of mimo channel filters and so on with reference)

本程序特别适合于弹道计算等方面使用。比ODE45函数的速度加快了很多，且程序充分展示了Matlab向量运算的强大功能，以及编程的简单快捷。(This procedure is particularly suitable for use ballistic calculations and other aspects. ODE45 faster than a lot of functions and procedures for demonstrating the power of Matlab vector operations, and programming simple and quick.)

matlab环境下的delete函数的用法，以及colormap函数的用法简介(the use of the function delete in matlab)

Binary genetic algorithm with fuzzy controller algorithm Matlab code

This is the simulation of DC Chopper Circuits.

Gist。 使用直方图的方式提取特征值里面有demo，修改一下可以直接使用，提取特征向量，使用机器学的方法来分类识别( Use the histogram to extract eigenvalues ​ ​ inside demo, change it can be directly used to extract feature vectors, using machine learning approach to classification)

Gaussian_Window,Fourier_Transform的matlab代码例程(matlab code about Gaussian_Window,Fourier_Transform)

EEMD在EMD的基础上进行添加高斯白噪声，VMD相对于EEMD时频分解效果更好，有效的抑制了模态混叠和端点效应(EEMD adds Gaussian white noise on the basis of EMD, and VMD has better effect on time-frequency decomposition than EEMD, effectively suppressing modal aliasing and endpoint effects)

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks (The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks)