Ch8_GA_JSP

System Identification s matlab program

语音增强及其消噪能力研究,详细到位,适合初学者(Speech enhancement and de-noising ability to study in detail in place, suitable for beginners)

ldpc码编译码程序 仿真调试 加高斯噪声下的误码率(ldpc)

MATLAB的可见，非常易懂，很适合初学者了解其中的算法，可以快速掌握(MATLAB visible and very easy to understand, it is suitable for beginners to understand the algorithm which can quickly grasp)

灰色模型算法，通过改进之后，考虑了之后的误差处理，减少了因为数据变化太大而引起的预测不准确的现象。(Gray model algorithm, improvements, after taking into account the error handling, reduced because the data has changed so much caused by inaccurate forecasts phenomenon.)

5.1 在VC++中调用Matlab引擎 matlabenginetest目录 5.2 VC++中调用Matlab *.m函数编译后的动态链接库 VC++中调用Matlab .m函数编译后的动态链接库目录(failed to translate)

fusion of panchromatic and multispecral image using differet types of image fusion techniques

bayes classifier and it s performance

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves2