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以前常有的调制识别程序大多是基于MATLAB的，本程序是基于C语言的实用程序，可以识别AM、FM、DSB、LSB、USB、CW、Noise等模拟调制信号的调制类型，是在实际工程中正在应用的实用程序！(Previous common modulation identification procedures are mostly based on MATLAB, and this program is based on the C language utility can identify the AM, FM, DSB, LSB, USB, CW, Noise and other analog modulation signal modulation type is the actual project utilities are being applied!)

该压缩文件是OFDM的仿真MATLAB程序，包含调制解调和性能分析，希望有帮助。(The compressed file is a MATLAB simulation of the OFDM process, including modem and performance analysis, would like to have help.)

matlab毕业编程【谷速软件】动态轮廓的实施和测试平台的GUI (Graduation matlab software programming [Valley] GUI dynamic contour speed implementation and test platform)

主成分分析代码，用matlab实现的，请大家参阅。(Principal component analysis code, matlab implementation, please refer to the.)

代码包含了几种不同的数字信号系统仿真的实现,包含BPSK,ASK,FSK的数字仿真系统源代码(Code contains several different implementation of digital signal system simulation, including BPSK, ASK, FSK digital simulation system source code)

动力学分析的五种算法，分别是模态叠加法、Newmark积分算法、中心差分算法等m文件代码(m-codes about dynamic analysis )

A code of SNR with ISI in optical communication

估计Hurst指数，用于混沌分形分析，减低小波估计的计算量(Estimated Hurst exponent, chaos fractal analysis, and reducing the amount of calculation for wavelet estimation)

在自适应波束形成算法中，使用阻塞矩阵法抑制主瓣干扰(In adaptive beamforming algorithm, using blocking matrix interference suppression in the main lobe)

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)