entropy

These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller.

pts降低正交频分复用ofdm的峰均比论文 (Pts is to reduce the frequency in the papers are better than to as remultiplexing )

matlab程序，采用滤波器进行信号去噪，FFT变换(matlab program using filter signal denoising, FFT transform)

车牌识别，用matlab实现的简单车牌识别系统，学习交流用(License Plate Recognition)

配电网中可靠性评估中太阳能的评估模型，涉及晴空系数和斜角等等(Distribution of an uation model for reliability assessment of the solar energy power generation, involves the dip Angle, clear air coefficient and so on)

在bmp图像中隐藏另一图像，希望对大家有用！(bmp image in another hidden images, useful for all!)

Demo for the Fractional-Order Chaotic Systems (FOChS) - functions

分数阶统计是现代统计信号处理的重要内容，这里是alpha、beta分布的情况，仿真程序(Fractional statistics is an important content of modern statistical signal processing, where alpha and beta distribution emulator)

These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used. In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone. We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset. The topics discussed include: * Signal manipulation and visualisation * Design and application of digital filters * Frequency-domain analysis * Automatic peak detection * Feature extraction from signals * Train and test of simple Neural Networks

计算语音信号的短时能量和过零率，显示它的时域波形(Calculated short-time speech signal energy and zero crossing rate, showing its time-domain waveform)