-
UART_Image
用MATLAB语言编写的从串口接收图像数据的一段小程序，主要用于从串口接收图像数据(Image data from the serial port to receive a small program written in MATLAB language, mainly used for receiving image data from the serial port)
- 2013-01-18 21:58:22下载
- 积分：1
-
LTE_filter
LTE变采样滤波器的设计，应用在USRP平台，100M采样率变到30.72M采样率，以及30.72M采样率变换到100M采样率，文档说明，matlab源代码，以及性能仿真(LTE varying sampling filter design, used in USRP platform, 100M sampling rate changes to 30.72M sampling rate, and sample rate conversion 30.72M to 100M sampling rate, documentation, matlab source code, and performance simulation)
- 2021-04-12 12:18:57下载
- 积分：1
-
MICROGRID-IN-GRID-MODE
微电网经济调度，含有储能调度，独立运行模式模式下含有多目标(Micro-economic dispatch, dispatch containing storage containing multiple targets standalone mode mode)
- 2014-05-13 09:20:14下载
- 积分：1
-
插值和拟合程序
说明： 运用matlab程序，分析实现数值的插值与拟合功能(Realize the interpolation and fitting of numerical value)
- 2020-10-19 15:26:32下载
- 积分：1
-
SINS
捷联惯导Matlab仿真产生经昂及度纬度俯仰角等图形(Matlab simulation SINS)
- 2010-05-31 22:00:52下载
- 积分：1
-
csp
This is the matlab code of common spatial pattern with tests.
- 2013-11-19 18:17:41下载
- 积分：1
-
hsv_shadow
基于阴影形成的原理及阴影区域的特点，研究阴影区域的特征表示方法；
基于阴影区域特征设计或改进阴影检测方法，检测出户外图像中的阴影区域；
在检测出阴影区域的基础上，研究阴影去除方法；
编程实现相关方法并进行实验验证及分析。(Shadow detection and removal of single image)
- 2017-04-25 21:36:57下载
- 积分：1
-
第四章
说明： 这是本人在学习过程中自行学习编写的《优化阵列信号处理》中第四章的例题程序，有需要的下。(This is the example program in Chapter 4 of "optimized array signal processing" which I learned and compiled by myself in the learning process.)
- 2020-11-02 17:27:19下载
- 积分：1
-
等效介质理论参数提取代码
说明： 矢量网络法散将射参数转化为介电常数
本代码计算需要的输入值为：d(超材料厚度方向的周期常数)，f(频率的变化范围)，S(通过CST或HFSS软件计算得到的散射参数)(The vector network dispersion transforms the radiation parameters into the dielectric constant
Input values required for calculation in this code are: D (periodic constant in the direction of metamaterial thickness), F (range of frequency variation), S(scattering parameters calculated by CST or HFSS software))
- 2021-02-06 00:09:14下载
- 积分：1
-
PNN-CVLOO-code
The code implements a probabilstic Neuraol network for classification problems trained with a Leave One Out Cross Validation Scheme in Matlab (version 7 or above). The following toolboxes are required: statidtics, optimization and neural networks.
- 2010-05-29 22:25:15下载
- 积分：1
