ISA

通过VC调用MATLAB引擎的范例程序，根据运行环境不同，可能要对头文件进行修改(VC call MATLAB engine through an example of the procedure, according to different operating environment may have to modify the right files)

计算圆波导模式（例如TE21、TM11，可以输入不同的m、n值）的场分布。(Calculate the circular waveguide mode (eg TE21, TM11, you can enter a different m, n value) field distribution.)

LTE下行链路空分复用闭环。仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字，8次迭代Turbo译码、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行空分复用预编码。信道模型是LTE-MIMO信道附加AWGN信道。(LTE downlink closed loop space division multiplexing. Simulation Configuration: 16QAM modulation, 1/3 rate Turbo code, 10MHz of bandwidth, one PDCCH per subframe symbol, single code word, 8 Turbo decoding iterations, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, PDSCH transmitting terminal space division multiplexing precoding. Channel model is LTE-MIMO channel additional AWGN.)

这是一个对热传导平衡方程及其灵敏度分析和检验的案例。(This is a case of heat conduction equilibrium equation and its sensitivity analysis and test.)

蚁群混合算法源代码 采用MATLAB，必要的说明和注释(Hybrid ant colony algorithm source code using MATLAB, the necessary instructions and notes)

High Pass Filter for some frequency

ode solver for Improved Euler Algorithm

模式识别中c均值法的matla算法实现 老师布置的作业我昨晚了 上传共享一下(Pattern recognition method matla c means algorithm teacher assignments upload to share what I had last night)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

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