chaoliuchengxu

通过贝叶斯决策，测试给定的一组数据（身高/体重）来判断是男生还是女生。(Through Bayesian decision, given a set of test data (height/weight) to determine if a guy or girl.)

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. )

说明：  以优化SVM参数c和g为例，对FA算法MATLAB源码进行了详细中文注解，是很好的学习材料(Taking the optimization of SVM parameters c and G as examples, the source code of FA algorithm MATLAB is annotated in detail in Chinese, which is a good learning material.)

说明：  可以提供风光火储能一体化研究，采用matlab yalmip优化工具箱(The MATLAB yalmip optimization toolbox can be used to study the integration of wind, fire and energy storage)

ｍａｔｌａｂ内插还原算法的小例子，我给个例子,根据具体要求改一下就行了(matlab interpolation algorithm to restore a small example, let me give an example, according to the specific requirements to look on the list)

matlab写的SVM分类，tranning和test分开，可直接使用。(matlab write SVM classification, tranning and test separately, can be used directly.)

遗传算法工具箱，可以根据其中文件提示进行修改，还可以自己编写文件嵌入(Genetic algorithm toolbox, based on documents which prompted changes can also be embedded in their own documentation)

function named myresize and scale_image to resize and scale images in matlab

calculating characteristics of a pump from experimental data

a good book on numerical pde and its miles !