levelset_segmentation_biasCorrection_v1

很经典的matlab课件，全面介绍了matlab内容，适合初学者(Very classic matlab courseware, comprehensive introduction to matlab content, suitable for beginners)

四进制相移键控，樊昌信《通信原理》内容。。。。。。。(Quaternary phase shift keying, Fan Changxin " Communication Theory" content)

RESINVM3D is a MATLAB package for inverting 3D Dc Resistivity and Electrical Resistivity Tomography data. The Package contains 35m files along with two demonstration data sets. Copyright (c) 2007 by the Society of Exploration Geophysicists. For more information, go to http://software.seg.org/2007/0001 . You must read and accept usage terms at: http://software.seg.org/disclaimer.txt before use.

一个navigation vieew的xcode手机程序可直接使用。 (A navigation vieew the xcode phone program can be used directly.)

总体X服从非中心卡方分布，求两个参数的极大似然估计 输入：样本数据 输出：参数估计值n，v 内有详细说明(Overall X obey non-central chi-square distribution, find the two parameters MLE)

根据查找边缘发二值化图像，确定图形质心的位置。(According Find Edges hair binary image, to determine the location of the centroid graphics.)

研究生时的现代信号处理的作业，pwm整流器的建模仿真，基于SVPWM的三电平逆变的matlab仿真。( Modern signal processing jobs when the graduate, Modeling and simulation pwm rectifier Based on SVPWM three-level inverter matlab simulation.)

语音中提取基音频率matlab程序语音中提取基音频率matlab程序语音中提取基音频率matlab程序语音中提取基音频率matlab程序语音中提取基音频率matlab程序语音中提取基音频率matlab程序语音中提取基音频率matlab程序(speech analysis and synthsis)

Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。(VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural networks Q function approximation. As the use of simulated annealing, the car will start when the regular crash barrier, 10 times the fundamental will no longer hit. The appearance model used car " w198406141" in this forum area of virtual reality VR model release.)

在matalab开发环境下的实现时域信号多尺度的分析，可用于信号的特征抽取和故障诊断(Multi-scale analysis of time-domain signal achieved in matalab development environment can be used for feature extraction and fault diagnosis signal)