QPSK123

一个拟合椭圆的程序，采用matlab编程，利用均值误差作为代价函数。(A fitting elliptical procedures, the use of matlab programming, using the mean error as the cost function.)

这是mimo ofdm系统的仿真程序，代循环前缀，加性高斯噪声，双发双收的系统，(Channel estimation for a MIMO-OFDM system estimation technique subcarriers)

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology, including a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C.

Differential Evolution (matlab)(Differential Evolution (Matlab))

在每一次小波变换中，都提取其中的“逼近信号”作为下次变换的输入，同时忽略掉其中的“细节信号”，即清除一次信号中包含的高频噪声分量。变换后的输出信号与原始信号相比，噪声起伏明显改善。(In every wavelet transform are extracted one of the " approximation signal" as the input of the next change, while ignoring one of the " details of the signal" , that is, a clear signal contains high frequency noise components. Transformed output signal compared with the original signal and noise fluctuations significantly improved.)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

matlab m file program

BFA优化算法，用于求解电力系统经济调度等优化问题，效果较好，是最近新出的优化算法(BFA optimization algorithm， used for economic dispatch problems in power systems, a new method)

关于MATLAB编程用两种方法模拟光学实验(MATLAB programming on the optics experiments using two kinds of simulation)

三电平仿真模型，相对两电平谐波更小，极有参考价值(Tri-level simulation model of two level harmonic smaller, relatively great reference value)