完美的阵列信号处理的高分辨率估计，matlab程序

说明：  matlab基础教程，适合初学者的基础学习matlab。以及有一定基础者的进阶(matlab basic tutorial for beginners to learn the basis of matlab. And those who have some basic advanced)

维纳滤波器, 模型参数。假设信号长度为L， 模型阶数为N，分析实验结果，并讨论改变 L， 对实验结果的影响(winner fliter)

结合PCA的尺度不变特征变换(SIFT)算法，基于人工神经网络的常用数字信号调制，采用热核构造权重，课程设计时编写的matlab程序代码，借鉴了主成分分析算法（PCA），采用加权网络中节点强度和权重都是幂率分布的模型。

一份matlab的ppt教程，给初学者，比较多面地介绍了matlab的基础(The ppt of a matlab tutorial for beginners, more multi-faceted introduction to the basis for matlab)

Character Recognition Example (I&II)- Pre-processing of Image (Matlab Code)(Character Recognition (I)

可以动态调节运行环境的参数，GSM中GMSK调制信号的产生，音频信号通过LM386放大。( Can dynamically adjust the parameters of the operating environment, GSM is GMSK modulation signal generation, LM386 audio signal amplification.)

该算法在优化方面性能比较好，可用于函数极值，解方程，并且在前向神经网络权值和网络结构的训练也表现了不错的性能(The algorithm in the optimization performance is better, can be used in extreme value function, solve equations, and the former to the neural network weights and network structure of training has shown good performance)

提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来(use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated)

Fast Total Variation Deconvolution Package

实验结果表明该算法对非冲击噪声效果良好。 lx_main为主程序，NS_lxwz为噪声估计模块，lxG_wz为增益估计模块，noise_sound为测试用含噪语音。 算法原理参见本人的文章《一种引入延迟的语音增强算法》。(Experimental results show that the algorithm for non-impulsive noise effect is good. lx_main the main program, NS_lxwz for the noise estimation module, lxG_wz for the gain estimation module, noise_sound to test the noisy speech. Algorithm theory see my article " delay the introduction of a speech enhancement algorithm." )