MATLABSmith

QPSK_Gardner位定时同步算法的简单仿真，其中的环路滤波器部分参数设计不太合理，但是基本能实现效果。(Simple emulation QPSK_Gardner bit timing synchronization algorithm, which some parameters of the loop filter design is not reasonable, but the basic effect can be achieved.)

描绘出衰落信道中Jakes模型 此为主函数体 并在主函数中调用jakes模型(Jakes model depicts Fading This is the main body of the function in the main function call jakes model)

模拟退火算法和遗传算法相结合，构建的模拟退火遗传算法，实现优势互补！！(Simulated annealing algorithm is combined with genetic algorithm, simulated annealing genetic algorithms to construct, realize the complementary advantages!! )

说明：  这是我编写的遗传算法实用matlab程序，简单实用。(This is what I write practical genetic algorithm matlab program, simple and practical.)

In this File, performance evaluation of 4-QAM system in the presence of Automatic Gain Control (AGC) errors using MATLAB Software. The system is designed, modeled and simulated using Simulink to evaluate the Bit Error Rate (BER) of the system in AWGN channel. The system doesn’t have a perfect AGC, but for comparison purposes, the perfect AGC is also included and evaluated.

侧向定位蒙特卡洛仿真GDOP分析，验证了数据融合方法的精度(GDOP lateral positioning Monte Carlo simulation analysis to verify the accuracy of the data fusion methods)

此程序主要是基于希尔伯特-黄变换编写的MATLAB程序，用于搞科研的工作者们。(This program is mainly based on Hilbert- Huang Transform written MATLAB program for workers who engage in scientific research.)

模糊聚类程序，只需把数据输入运行就可以得出你想要的结果，很简单，很方便(Fuzzy clustering procedure, simply enter data into operation can be drawn on the results you want is very simple, very convenient)

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

蒙特卡罗法模拟高斯白噪声激励下二自由度振子的瞬态响应(Monte Carlo simulation of Gaussian white noise excitation vibration two degrees of freedom oscillator)