matlab

美国国家航空和宇宙航空局(NASA)研制的跟踪和数据中继卫星系统(TDRSS)的正交信号发生器使用的是阶数为r=11的GOLD序列，序列长为2047，m序列优选对为4445和4005，利用Matlab程序构造出这个序列，并且验证信号的平衡标准，PACF(离散周期自相关函数)和PCCF(离散周期互相关函数)。通过Matlab2009A测试。(NASA developed tracking and data relay satellite system (TDRSS) use of orthogonal signal generator is the order of the GOLD for the r = 11 sequence of length 2047, m sequence pairs for the 4445 and 4005, use of Matlab program to construct the sequence, and verify the balance of the signal standard, PACF and PCCF. Testing by Matlab2009A.)

高斯回归建模 用与建立代理模型 利于对映射关系进一步研究

对space borne GPS 接收机 Phoenix的数据处理matlab 程序(data processing for the Phoenix space-borne GPS receiver)

说明：  自写Matlab的FFT代码，供分享，仅供参考。(Write Matlab FFT code, for sharing, for reference only.)

基于压缩传感的梯度投影重构算法代码，可以仿真实现(Gradient projection reconstruction algorithm code based on compressed sensing, simulation can be achieved )

matlab cod efor 2013 ieee paper a two level fh cdma

三自由度强迫振动MATLAB/simulink模型(Three DOF forced vibration model in MATLAB/simulink)

MEMS惯性检测单元组合标定研究，（比较详细）(Combination of inertial MEMS testing unit calibration studies (more detailed))

一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix The Muller matrix is a 4*4 matrix that completely describes the polarization properties of the medium. The horizontal line, vertical line polarized light polarized light H V, 45 degrees P linearly polarized light, right circularly polarized incident detection and R, respectively, H vertical horizontal line polarized light polarized light V, 45 degrees P linearly polarized light, right circularly polarized light R emitted under the condition of energy intensity results of 16 kinds of polarization combinations HH/ HV/, HP/ HR, PH/ PV/ PP/ PR VH/, VV/ VP and RH/ RV/ RP/ RR / VR. Furthermore, the Mueller matrix can be calculated according to formula (1):)

Stereovision reconstruction using Triangulation and "Mire" Calibration. Implemented in Matlab language