flightcode

这是一个基于matlab维纳滤波的m程序，多用于信号处理和图像处理，还包含两个应用，供大家参考。(This is a Matlab-based Wiener filtering m procedures used for signal processing and image processing. also includes two applications, for your reference.)

This matlab code is for plotting 3D plot of pressure profile and where length to dia ratio is varying for journal bearing

jaringan saraf tiruan

含NWP数值天气预报和不含NWP数值天气预报的BP神经网络预测风电功率两种方法进行比较，含数据，实际案例。(With and without NWP NWP Numerical Weather Prediction NWP BP neural network prediction of wind power are two methods were compared with the data, the actual case.)

设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 (Design a simple GUI interface that time domain characteristics analysis on import audio files.Calculate the average time domain waveform, amplitude, short-time energy and short-time zero crossing ratio.Add to deal with the noise of the audio files, analyze the changes in the time domain waveform.To set a fixed time, to add the audio echo and saved as a *. Wav format file. The time domain analysis of the audio file was transmitted to audio files, noise reduction and other editor again.The short-time energy voiced distinguish between standard and can be used as a clear voice starting point judgement.Short-time zero crossing ratio can be used as a judgment audio segment and silent segment and extract speech signal background noise.)

说明：  支持向量机的matlab程序代码，还有支持向量机的原理说明(Support vector machine procedures, including the principle)

说明：  旅行商问题，解决经过多个城市的最短距离。(MATLAB)

Human Emotion Recognition using modified Gabor as a feture extraction and SVM classifier

三维空间离散点的曲面拟合,以及散点图做法(Three-dimensional surface fitting discrete points, and scatter plots practice)

说明：  噪声中正弦信号的现代法频谱分析，采用了自相关法、Burg法、协方差法和改进协方差法，并分析了阶数和窗长度对Burg法的影响。(The modern frequency spectrum analysis of sinusoidal signal in noise adopts autocorrelation method, Burg method, covariance method and improved covariance method, and the influence of order and window length on Burg method is analyzed.)