D

欧拉角表示法具有简便、几何意义明显等优点，同时姿态敏感器可以直接测出这些参数，能较方便地求解用这些姿态参数描述的姿态动力学方程。但采用欧拉角的姿态描述方法存在奇点问题，且需多次三角运算。而采用四元数表示方法则可以避免这些问题。(conversion between euler angle and quaternion method)

语音信号处理 时域分析 短时能量 短时平均过零率 短时自相关函数( a=wavread( beifeng.wav ) subplot(6,1,1),plot(a) N=32 for i=2:6 h=linspace(1,1,2.^(i-2)*N)； )

Rectifier 1phase fuzzy

说明：  一束5W 的线偏振光以Φ = 45 度方位角振动，垂直入射到玻璃 - 空气表面，该光束波长0.6μm，玻璃介质折射率1.54 @0.6m，当入射角θ从0-70 度变化时，通过给定条件，分别完成如下要求： 画出该光束反射光的光强曲线（I-θ）； 分析该反射光束的偏振态变化，画出偏振方向变化曲线（φ-θ）和偏振光束相位变化曲线 （Φ-θ）。 （注：光束从光密到光疏的界面，在入射角θ 从0-70 度变化中，包括了临界角θc）(Bunch of linearly polarized light 5W to Φ = 45 degrees azimuth vibration, normal incidence to the glass- air surface, the beam wavelength 0.6μm, glass refractive index 1.54 @ 0.6m, when the incident angle θ changes from 0-70 degrees By the given conditions, namely the completion of the following requirements: Draw the reflected light beam intensity curve (I-θ) analysis of changes in the polarization state of the reflected beam, draw the polarization direction of the curve (φ-θ) and polarized beam phase curve (Φ-θ). (Note: the light beam from the optical density of the interface is sparse, the incident angle θ  variation from 0-70, including the critical angle θc))

说明：  MIMO中空时块码的实现!!!!!!!!!!!!!!!!!!!!!!!!!!!!!(achieve of MIMO Space-time block codes)

模拟2个独立窄带信号入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵列的阵元数为10，快拍数为200。阵元间距为入射信号波长的1／2，信噪比为20dB，信号入射角度差分别为5°，10°，20°。(Simulate two independent narrowband signals incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the number of array elements of the array is 10, the number of snapshots to 200. Element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB, the signal difference between the angle of incidence was 5 °, 10 °, 20 °.)

一个很好的残差重采样粒子滤波算法，Matlab代码(A good residual resampling particle filter algorithm, Matlab code)

基于matlab做的三维射线追踪的源代码。供大家交流之用。(based on Matlab do 3D ray tracing the source code. For exchange purposes.)

a MATLAB function for denoising images via wavelet transform

改算法描述了基于最小均方误差的多用户信号检测(MMSE,MUD,CDMA)