mimo_simulator

带有完美匹配层的三维FDTD仿真，用于电磁波和光学仿真()

matlab环境下的张正友法标定，可以获得相机的内参外参(Zhang Zhengyou calibration method under matlab environment, you can get the camera' s internal reference external parameters)

Rebel工具包，包括UKF，CDKF在内的多种粒子滤波算法仿真，是非线性系统状态估计的良好帮手(Rebel kit, including the UKF, CDKF including a wide range of particle filter simulation, nonlinear system state estimation is a good helper)

压缩感知原来，对一维信号采用正交匹配跟踪的方法进行重建。(The original compressed sensing, one-dimensional signal using orthogonal matching method to track reconstruction.)

matlab图像处理实例详解chap12——形态学图像处理(matlab image processing examples explain chap12- morphological image processing)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

matlab programming for engineers

Code for nonlinear equations solution

VArious basic programme according to the book Basics of Matlab (Zakova)

这个文档包含四种不同的功能求解非线性方程组。包括牛顿 - 拉夫逊，定点，正割，二分法方法。这项工作是我的课程的一部分，在数值计算的本科课程。它包括时序和表的打印输出进行分析和比较。有很多的观察，你可以：例如，对于一个特定的公式，一种方法可能运行的迭代次数最少，而另一个将运行更多的迭代，但计算速度最快的。(This document contains four different functions for solving nonlinear equations. Including Newton- Raphson, fixed, Secant, bisection method. This work is a part of my course in numerical undergraduate courses. It includes the timing and tables to analyze and compare the printout. There are a lot of observation, you can: For example, a specific formula, a method may be running a minimum number of iterations, while the other will run more iterations, but the calculation is the fastest.)