percep01

说明：  幅度调制 频率150Hz～400Hz 上边带SSB 下边带SSB 各波形以及频谱(Amplitude modulation frequency of 150Hz ~ 400Hz above bottom band SSB spectrum with SSB, as well as the wave)

说明：  毕业用的时间序列混沌分析，里面吧包含相空间重构，李雅普诺夫指数求取，小波去噪等等(Graduated with a chaotic time series analysis, which it contains the phase space reconstruction, Lyapunov exponent for wavelet denoising, etc.)

some neural network rules Matlab code such as:perceptron, delta, widrow exist in this document

对adc采样信号进行频谱分析，计算信噪比，有效位数等等重要参数(Adc sampling signal for spectrum analysis, calculate SNR, the effective number of bits so the important parameters)

关于注水算法的简单演示。在总功率受限的情况下通过功率分配逼近香农信道容量(performs the water filling algorithm with the given total power constrain to approach Shannon capacity of the channel.)

说明：  matlab对轨道角动量的仿真，可以更改波长和模态值以适应光学和电磁应用(Matlab simulation of orbit angular momentum can change the wavelength and mode value to adapt to optical and electromagnetic applications)

利用最小方差方法估计复正弦加白噪声得平稳信号的功率谱(After using the method of minimum variance estimate sine smooth white noise to the signal power spectrum)

利用OMP算法重构二维图像，简单易懂，便于初学者学习。(Two-dimensional image reconstruction algorithm using OMP, easy to understand.)

Fading Channel Simulation by Jakes method

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)