yuanjihua

SNMF 算法在MATLAB平台上的实现，包括源代码，说明等(SNMF experiment on MATLAB)

利用双线性Z变换设计巴特沃斯和切比雪夫I型IIR数字滤波器，包括低通、高通、带通、带阻四种形式。使用者只需指定通带、阻带的边缘实际频率及相应的衰减，便可输出数字滤波器 的级联形式的各子系统分子、分母的系数，并输出其幅频和相频响(Bilinear Z transform design Butterworth and Chebyshev Type I IIR digital filters, including low pass, high pass, band pass, band stop four forms. Users simply specify the passband edge frequency stopband actual and corresponding attenuation subsystems can form molecular cascade output digital filter coefficients of the denominator, and the output of its magnitude and phase frequency response)

说明：  RBF的MATLAB M文件实现。不是MATLAB的工具箱函数。(RBF the realization of the MATLAB M files. MATLAB is not a function of the toolbox.)

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)

局部化的支持向量机（LSVR）训练内核函数(function for LSVR(localized support vector regression) training)

different mathematical models of invertor in different frame of refrences

说明：  removal of 50 hz noise (power line interference) from ecg signal using adaptive filtering

1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。(1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like sports, like pattern recognition feature a total of six feature selection, design and use of SVM classifier for boys and girls based on the best features of the resulting and calculating prediction performance model (including SE, SP, ACC and AUC). Tip: 6 may be encoded with the 0/1, the fitness function may be considered similar.)

IIR 数字滤波器设计：模拟低通巴特沃思滤波器、模拟低通切比雪夫1型滤波器、模拟低通切比雪夫2型滤波器、模拟椭圆低通滤波器(IIR Digital Filter Design: Analog low-pass Butterworth filter, analog low-pass Chebyshev Type 1 filter, analog low-pass Chebyshev type 2 filter, analog elliptical low-pass filter)

做遗传算法研究的必备工具箱，非常好用。希望对大家有所帮助，共同学习进步！(Must do genetic algorithm toolbox, very easy to use. Help, we hope to learn together and progress!)