文献实现的现代信号处理中谱估计例程

This file simulates QPSK modulation with detailed plots at every stage.

讨论了多目标情况下的信号处理，针对信号处理过程中遇到的多普勒敏感 性问题和多普勒分辨率问题进行了多普勒补偿和频率细化处理，通过仿真证明其可行 性和有效性 (This paper discusses the target signal processing, in view of the signal processing in the course of doppler sensitivity Sex and doppler resolution problem doppler compensation and frequency refining processing, through the simulation show the feasible Sex and effectiveness )

这是用MATLAB作图对等效面积法产生的双极性spwm波形进行了仿真. (this is a spwm set by matlab!)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)

说明：  matlab图像滤波去噪分析及其应用 双线性滤波、Kirsch滤波、超限邻域滤波、逆滤波、双边滤波、同态滤波、小波滤波、六抽头滤波、约束最小平方滤波、非线性复扩散滤波、Lee滤波、Gabor滤波，、Wiener滤波、Kuwahara滤波、Beltrami流滤波、Lucy?Richardson滤波、NoLocalMeans滤波等研究内容。(Analysis and application of MATLAB image filtering and denoising Bilinear filtering, Kirsch filtering, transfinite neighborhood filtering, inverse filtering, bilateral filtering, homomorphic filtering, wavelet filtering, six tap filtering, constrained least square filtering, nonlinear complex diffusion filtering, Lee filtering, Gabor filtering, Wiener filtering, Kuwahara filtering, Beltrami flow filtering, Lucy Richardson filtering, nolocalmeans filtering, etc.)

说明：  一些关于无人驾驶的仿真实例，可能会有些帮助(Some simulation examples of unmanned driving may be helpful)

解决背包问题 自动求解最大价值 利益最大化问题(Automatically solve the Knapsack Problem to maximize the interests of maximizing the value of solving the problem)

数值分析 孙志忠 上机题 牛顿法,计算机(Numerical analysis of Newton' s method RAIL-on title)

本程序是数值分析中经典的高斯迭代法求解线性方程组(The numerical analysis procedure is the classical Gauss iterative method for solving linear equations)

博弈论matlab算法 二人博弈算，给出来详细的代码和结果(game thoery matlab)