OFDM_basic

LINEAR DISCRIMINANT ANALYSIS - A BRIEF TUTORIAL(LINEAR DISCRIMINANT ANALYSIS- A BRIEF TUTORIAL)

基于采用抽样函数的变步长LMS算法是实现的噪声消除器(The use of sampling function based on variable step size LMS algorithm is the realization of the noise canceller)

说明：  lz 编码，自带图片，求图像的lz编码，绝壁有效(it s a answer to lz codes.)

对KMEANS算法进行matlab实现，有数据支持(On KMEANS algorithm matlab realize, there are data to support)

总结常见的RBF网络算法，包括多个例子，亲测可运行。有kmeans-rbf, pso-rbf等方法的实现。(RBF algorithms including several example codes, the kmeans-rbf, pso-rbf etc. I test them all.)

说明：  matlab 小波函数处理图片的轮廓问题(matlab wave function to handle pictrure scale)

用Matlab语言实现通信系统的采样与量化功能(Communication systems using Matlab language sampling and quantization function)

产生MPSK信号的matlab源代码，其中有4psk和8psk两中(MPSK signals generated matlab source code, which has two in 4psk and 8PSK)

小波包分解及bp神经网络训练程序，可用于进行模式识别(Bp wavelet packet and neural network training program, it can be used for pattern recognition)

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)