- LGM12864 液晶显示的proteus仿真 包括温度显示
- PWM 通过ADC0808器件实现实现波形的产生
- sms11final this code source is of a project that turns on sending sms from pc to a mobile phone with gsm modem
- GMRA image proceesing on matlab demo
- arpt_mangle Open the named directory within the asset hierarchy. The directory can then be inspected with the AAssetDir functions. To open the top
- epwm_deadband DSP生成PWM
资源列表
tofloat
- tofolat，冈萨雷斯源码，例程，很多函数里都调用它-tofolat, Gonzalez source, a routine, where many functions are called
charmean
- 冈萨雷斯版的，非线性滤波器用charmean来实现-Gonzalez version of the non-linear filter to achieve with charmean
gmean
- 冈萨雷斯版的，非线性滤波器，几何平均，源码-Gonzalez version of the non-linear filter, geometric mean, source code
harmean
- 非线性滤波器用harmean实现，调和均值，源码-Nonlinear filter with harmean achieve, harmonic mean, source code
processInputs
- processInputs.m, 源码，被调用的函数，可实现嵌套调用，非线性滤波-processInputs.m, source code, the function is called, can be realized nested calls, nonlinear filtering
imbw
- 用于实现图像二值化，函数源码，欢迎下载，冈萨雷斯版-For implementing the binary image, function source code, welcome to download, Gonzalez Edition
FW
- Frank-Wolfe算法 被广泛应用于求解网络均衡流量分布问题，尤其是特别适用于UE规划问题的求解 -Frank-Wolfe algorithm is widely used to solve network equilibrium flow distribution problems, especially particularly suitable for UE Planning Problem
merge-sort
- 归并排序的matlab实现,且该程序实现了多维数据的高效排序，并不是单纯的一维数组排序！-merge sort algriothm s source data
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
double-path
- 2 Ray Ground Reflection Model with SNR
quasi-Newton-method
- 功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入的可变参数变量，简单调用bfgs时可以忽略它 但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun respective
Conjugate-gradient-method
- 功能：用FR共轭梯度法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数和梯度 输出：x,val分别是近似最优点和最优值，k是迭代次数-Features: use FR conjugate gradient method to solve the unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun is the objective functio