FH_2FSK

数字通信原理基于matlab仿真计算，采用matlab语言仿真通信原理基础内容：包括随机信号、调制解调、信源信道编码和滤波器等相关通信系统的仿真实现，建议具有matlab使用能力的人使用，对于加深自己对通信原理理论知识的理解很有帮助(Digital Communications Principles Matlab-Based Simulation Approach)

利用互信息对图像进行配准，使用的是matlab自带的优化工具箱(image registration using mutunal information ,this is good method,though it s so simple)

it is algo por neural network pid controller anation and optimization algo

iris recognition using haar wavelet

OFDM信道估计MATLAB仿真程序，包含高斯信道和瑞利莱斯衰落信道，算法包括LS,MMSE,LMMSE,ALMMSE等(OFDM channel estimation MATLAB simulation program, including the Gaussian channel Rice and Rayleigh fading channel, algorithms include LS, MMSE, LMMSE, ALMMSE etc.)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

自适应滤波matlab源程序，含有波形仿真程序，以及自适应滤波原理，lms算法介绍。(Adaptive filter matlab source code, containing the waveform simulation program, as well as the principle of adaptive filtering lms algorithm is introduced.)

matlab的安装和下载，有具体的安装目录，可以在window系统上下载安装(matlab installation and download, there is a specific installation directory, you can download and install on the window system)

基音检测的MATLAB程序，好含有分帧程序，短时域所有相关分帧处理算法代码。(Pitch detection MATLAB.)

说明：  Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。(AdaBoost is an iterative algorithm. The core idea of AdaBoost is to train different classifiers (weak classifiers) for the same training set, and then combine these weak classifiers to form a stronger final classifier (strong classifier).)