肌电信号高低滤波与陷波器算法

汽车速度调节 PID控制系统仿真 利用matlab中的simulink对汽车的速度调节进行系统仿真(Car speed regulator PID control system simulation using matlab simulink in the car' s speed regulator for system simulation)

SOM神经网路和DML的结合，CVPR2014文章仿真，保证分类器的Discriminative特性和SOM快速匹配特性！(the combination of the SOM neural network and the distance metric learning method)

编程实现基于8×8子块的DCT图像变换，基于JPEG量化矩阵的量化与反量化，基于8×8子块DCT的图像重建；以一幅512×512、8比特/象素的图像为实验对象，计算重建后的PSNR。(Programming based on 8 × 8 sub-block of the DCT image transform, quantization matrix based on the JPEG quantization and anti-quantitative, based on the 8 × 8 sub-block DCT of the image reconstruction to a 512 × 512,8 bits/as Su-image for the experiment, re-calculation of PSNR.)

这是雷达幅度符合韦布尔分布的杂波仿真程序，功率谱为高斯谱，时域上分为I、Q两路。(This is consistent with the Weibull distribution range radar clutter simulation program, power spectrum for the Gaussian spectrum, the time domain is divided into I, Q two.)

matlab 高斯噪声下LMS算法的误码率研究(LMS matlab)

This m file performs the QPSK transmission and reception.

Matlab航天器工具箱，用于轨道计算，2D或3D的平面显示，包含计算多卫星轨道动力学模型和地面覆盖分析等(Matlab toolbox spacecraft for orbit calculation, 2D or 3D graphic display, including the calculation of multi-satellite orbital dynamics analysis model and floor coverings)

说明：  power算法，可用于求解大型矩阵特征值问题，对小型矩阵同样适用(power algorithm, can be used for solving large matrix eigenvalue problem, apply equally to small matrix)

calculates positional/rotational sensitivity of an

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度(The main purpose is to fight against multipath fading. Due to the presence of multipath fading, the first after they have the same frame different paths to reach the client delay. Would cause mutual interference between sub-carriers in the frequency domain, affecting performance. In addition, thanks to the cyclic prefix, so IFFT FFT operation to the linear convolution of the original into a circular convolution, greatly simplifying the corresponding signal processing complexity)