adaptive_filter

说明：  在原始信号加入白噪声，通过卡尔曼滤波去除噪声，恢复原始信号。(In the original signal to join the white noise through the kalman filter remove the noise, restore the original signal. )

如题，混沌系统相关matlab程序代码，应该比较全了(Such as title, chaotic system matlab code, all)

Matlab环境下使用的数学建模工具箱，包含多种数学建模工具(Matlab environment using mathematical modeling toolbox, including a variety of mathematical modeling tool)

加恒定的膜电流,计算0~50ms时间段内 Hodgkin-Huxley模型的积分，并完整地分析和解释所得到的结果(With constant membrane currents, the integral of the Hodgkin-Huxley model in the 0~50ms period is calculated, and the results are fully analyzed and explained)

基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。(Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modeling and prediction.)

Antenne parabolique alimentée par guide d onde

同步挤压小波变换的源代码以及几个实例,这些代码由作者Gaurav Thakur等人编写，非常经典。(synchroqueezing wavelet transform)

说明：  在matlab环境下的一个朴素贝叶斯分类器，大家可以看下(Matlab environment a Naive Bayes classifier, we can look)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的(gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page)