Understanding-LTE-with-MATLAB

本程序验证手写fft频谱分析的正确性，并用于信号频域积分和频率检测。包含文档详细解释。(This procedure verified the correctness of handwritten fft spectrum analysis, and for the signal frequency-domain points and frequency of testing. Contains the document explained in detail.)

说明：  用matlab编写的一种依赖坐标的图像分割方法，即动态阈值分割法(using Matlab prepared by the coordinates of a reliance on image segmentation method, that is, dynamic thresholding segmentation method)

利用MATLAB语言编写的ART2网络函数及调用的例子(ART2 neural network function using MATLAB language and call example)

PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。(PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.)

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.)

FILLNANS replaces all NaNs in array using inverse-distance weighting between non-NaN values.

小波分析最基础的、具有导向性的东西，值得(Wavelet analysis of the most basic, with the east-west-oriented, it is worth)

关于数字信号处理的一些matlab例程，包括各种常用函数的编写(On a number of digital signal processing matlab routines, including the preparation of a variety of commonly used functions)

Mean Square Error used to calculate mean square between two images

说明：  ％极大似然方法 gcn为高斯有色噪声！！！比较不同点( Maximum likelihood method for Gaussian colored noise GCN! ! ! Compare different points)