595643723dRecon

说明：  DE 生物进化算法的matlab实现，一类优化仿生算法(DE biology evolutionary algorithm matlab implementation, a class of bionic optimization algorithm)

针对非线性传递函数一种滤波和估计的新方法 (A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators )

说明：  灰色gm11模型，可以做预测，是一个很有趣的小程序(Grey gm11 model prediction can be done is a very interesting little program)

基于windows form的智能拼板程序，含源代码。(a PCB layout tool based on windows form. the source code is included.)

基于simulink的三相增强型锁相环，实现电网不对称故障下的锁相。 内含： 1.可自由调节电网不对称情况的电源 2.普通锁相环 3.增强型锁相环(Based on the the simulink of three-phase enhanced phase-locked loop, phase-locked grid asymmetric fault. Contents: 1. Freely adjustable power grid asymmetric. Ordinary phase-locked loop. Enhanced PLL)

burg变换，zak变换等，利用MATLAB实现，可用本程序实现对某个给定信号做对应的变换，效果良好，程序中还有关于误差的分析(burg transformation, zak transform using MATLAB to achieve, and the corresponding signal corresponding to do, transform, to good effect, as well as analysis of program errors)

gabor特征提取程序 matlab实现 附有图像测试(gabor feature extraction process to achieve with matlab image test)

Compare To Source Code for Andriod.

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. )

shows how signals work in plots complex signal A*(sin(w)+cos(w))