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说明：  自适应算法,能够事项波束成形,比较新的代码 (adaptive algorithm)

《Digital and Analog Communications Systems》（《数字和模拟通信系统》）的配套MATLAB源代码，该书对数字和模拟通信系统都有讲述，偏重于数字通信系统。("Digital and Analog Communications Syste ms "(" digital and analog communications system ") supporting MATLAB source code, The book on digital and analog communications systems have talked about emphasis on digital communications systems.)

The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted Pendulum System and designing Control System for it.

基于改进的PI模型对非线性曲线进行拟合，二次寻优算法进行参数辨识，用逆模型前馈补偿(Based on the improved PI model, the nonlinear curve is fitted, and the second optimization algorithm is used to identify the parameters, and the inverse model feedforward compensation is used.)

图像的方向图处理，通过各类算法实现方向图的获取。(The direction of image processing, algorithm through various access patterns.)

本程序利用改进的支持向量机理论进行混凝土抗压程度预测，取得了较好的效果(This procedure using improved support vector machine (SVM) theory to carry on the concrete compressive degree prediction, good results have been achieved)

I have provided the code for watermarking code in spatial domain and check difference between original and corrupted image.

说明：  一个用matlab编写的构建合成地震记录和剖面的工具箱集合，也包括多个小波函数和互动的小波编辑器(Written by matlab build a synthetic seismogram and profile collection kit, including a number of wavelet functions and wavelet interactive editor)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

计算小波相关性的几种方法，其中包括小波相关性。(Several methods of calculating the correlation of wavelet, including wavelet correlation.)