LFM

采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例(Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case)

基于合成孔径雷达sar单站式的成像仿真BP算法(Monostatic SAR imaging simulation rd algorithm )

说明：  信息论学科中，费诺编码，香农编码，以及霍夫曼编码是三个最为重要的编码方式，改文件包含三种编码的Matlab程序。(In the discipline of information theory, Feyno coding, Shannon coding, and Hoffman coding are the three most important coding methods, and the change file contains three kinds of coding MATLAB programs.)

pid控制程序，基于matlab环境开发，开自行修改(matlab)

NR for economic dispatch

测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)

超宽带定位系统中，使用chan算法和taylor算法相结合是最优化的定位方案文档中包含了matlab源码(UWB positioning system, the use of chan combination of algorithm and taylor algorithm is optimal orientation program document contains the matlab source code)

说明：  数理统计中各种参数估计与假设检验源代码，文件中有例程(A variety of mathematical statistics, parameter estimation and hypothesis testing of the source code)

The model consists of Physical layer simulation for downlink. Matlab GUI

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)