coherencefilter

灰色模型GM(1,1)原始数列经过光滑优化(Gray model GM (1,1) with smooth Optimized original series)

WinQSB 数学软件，不用安装，很有用(WinQSB mathematical software, no installation, is useful)

阵列信号处理算法中的LCMV算法，仿真场景：8元均匀线性阵列，阵元间距为1/2波长，干扰入射方向为45度，干噪比为40dB。附报告、源程序、仿真截图，内容详尽，希望对您学习有所帮助。(Array signal processing algorithm LCMV algorithm simulation scenarios: 9 element uniform linear array, the array element spacing is 1/2 wavelength, the interference incident direction of 45 degrees, interference and noise ratio of 40dB. Attached report, source code, simulation screenshots, detailed, hope to help you learn.)

code is related to matlab any can use it

Modulation and demodulation

C.Primer.Plus 第五版 书中的源代码(C.Primer.Plus fifth edition of the book' s source code)

说明：  车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。(Workshop layout optimization model containing is a complicated nonlinear optimization model in a row, you can use the genetic algorithm optimization. )

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

最小均方误差信道估计LS_MSE_calc.m仿真程序。用于ofdm信道估计。(Simulation of main channel LS_MSE. You wish to be useful.I hope that they will bring convenience to. If there is a need to contact.I wish good!)

遗传算法，基因突变函数，交叉函数，二进制转十进制，十进制转二进制(Genetic algorithms, function mutation, crossover function, binary to decimal, decimal to binary)