P_gama

butterworth bandpass filter design

DCT变换图像处理，给出了源码和实现过程，是一个毕业设计(DCT transform)

癫痫脑电时频分析 癫痫脑电数据 正常脑电数据(Epileptic EEG Time-Frequency Analysis of normal EEG of the epileptic EEG data)

语音信号在其他变换域中的分析技术和特性,语音信号的同态处理和倒谱分析,离散余弦变换,小波和小波包变换(Speech signal analysis technologies and features in other transform domain, homomorphic processing voice signals and cepstrum analysis, discrete cosine transform, wavelet and wavelet packet transform)

说明：  采用人工智能神经网络的改进Holpfield神经网络解决旅行商问题(Improved use of artificial neural network neural network to solve the traveling salesman problem Holpfield)

语音增强谱减法程序，已经运行成功，效果明显(Spectral subtraction speech enhancement program has been run successfully, obvious effect)

rick子波发生器 仿真模块,需要的人可以(rick- wave generator simulation module, in need can try)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

电力系统稳定性计算, 频率扩展以及持续算法(power system reliability:extend the frequency and duration techniques)

matlab 遗传算法工具箱及其应用 电子书 pdf格式(matlab GA toolbox and its application,format pdf)