IPToolbox

一种改进的波束形成算法(DL-Capon beamforming)

nginx源码分析，全面易懂。正在研究nginx的朋友可以看看。(nginx source code analysis, comprehensive and easy to understand.Studying nginx friends can see.)

FPEXTRACTDEMO 指纹特征提取演示程序 一个完整的指纹特征提取程序。包括常用的所有算法... 选项： - Centralize: 二值化图像，计算中心点 - Crop: 图像修剪 - Sectorize: 可视化扇形 - Normalize: 归一化输入图像 - Gabor filters: 可视化Gabor滤波器 - Convolute: 计算输入图像和Gabor滤波器的convolution - Features: 特征可视化 - FingerCode: 在数据库中加入该指纹 - Check: 指纹匹配(Fingerprint Feature Extraction FPEXTRACTDEMO demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options ...:- Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching)

to calculate cubes volume

Matlabcommunicationsystemmodeling andsimulation

Matlab实现模糊控制与传统PI控制比较后证明模糊控制修正优于PI控制( Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions)(Matlab fuzzy control with conventional PI control proved that the fuzzy control correction is superior to PI control (Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions))

机器人路径规划，遗传算法实现，程序为自己所有，亲测，没问题(Path planning, genetic algorithm, the program for themselves all, pro-test, no problem)

用matlab做的天线转台控制系统，没有扰动情况下系统程序(Using matlab to do the antenna turntable control system, there is no disturbance the system procedure)

Simulate the Element Selection Logic for a quadrature differential DAC.

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)