InsTools

matlab入门，基础的函数应用，适合初学者！(matlab entry, based on function application, suitable for beginners!)

matlab的m文件，通过读取sd卡的内容显示成动态图像并生成avi视频文件(matlab m files sd card by reading the contents of the display into a dynamic image and generate avi video files)

matlab中的一个zoomfft例程，用于对fft频谱细化，以得到更大的分辨力。(zoomfft)

应用维纳滤波法去噪，在图像的频率特征和附加噪声已知的情况下，采用wiener去卷积比较有效(Wiener filter denoising applications, the frequency characteristics of the image and additive noise of known cases, more effective use of wiener deconvolution)

有关语音识别的系统，采用MATLAB对语音识别的具体实现过程进行仿真。(About speech recognition system, using specific implementation process of speech recognition MATLAB simulation.)

说明：  假设微电网中有风、光、微型燃气轮机、蓄电池，且已知各时段负荷需求；微电网可并网运行，当微网内部发电量较大时，可向电网卖电，而当内部发电不足时，可从大电网购电，价格参考实时电价。考虑各机组运行成本、燃料成本、污染物处理成本、以及买卖电支出或收益。该程序可解决在并网运行模式下，各机组出力如何分配才能达到经济最优的问题。(Suppose there are wind, light, micro gas turbines and batteries in the microgrid, and the load demand is known at each time period; the microgrid can be connected to the grid for operation; when the microgrid has a large amount of internal power generation, it can sell electricity to the grid, and when the internal power generation is insufficient At that time, electricity can be purchased from the big grid, and the price can be referenced to real-time electricity prices. Consider each unit's operating costs, fuel costs, pollutant disposal costs, and trading power expenses or benefits. This procedure can solve the problem of how each unit's output can be distributed to achieve economical optimization in the grid-connected operation mode.)

此为基于LSSVM工具箱的Matlab回归测试程序代码模板源码。(This is based on the Matlab toolbox LSSVM regression test program source code templates.)

LTE FDD数字蜂窝移动通信网 Uu接口技术要求 第1部分：物理层概述 (TD-LTE digital cellular mobile telecommunication network Uu Interface Technical Requirement – Part 1 : Physic Layer General)

说明：  matlab仿真生成C/A码　,希望大家可以用的上，能帮上忙，谢谢(GPS　signal C/A code generation,use matlab similution,very useful,hope you will like ,thank you,enjoy it)

The code demonstrate morphing that is basically source image warping followed by cross dissolving.