SIFT-pR@

关于携带证明的代码,即PCC,较前沿的代码,是一种一劳永逸无需测试的编码方式,叫复制(Proof carrying code on that PCC, more cutting-edge code, is a once and for encoding without testing, called replication)

说明：  标准粒子群优化算法,适用于matlab。方便实用(Standard particle swarm optimization for matlab. Convenient and practical)

该书通过大量实例介绍Matlab仿真技术在信号处理、通讯系统、电子电路、控制系统中的应用和仿真(Book introduced through a large number of instances of the the Matlab simulation techniques in signal processing, communication systems, electronic circuits, control system and simulation)

双馈风力发电系统仿真模型，采用背靠背式PWM调制方式。(Double-fed wind power generation system simulation model, using back-type PWM modulation.)

edge detection for an image

任意阶zernike多项式的计算，在进行波前拟合时可调用(Zernike any order polynomial terms, during the fitting can be called wavefront)

采用积分分离 PID控制算法将塔顶轻组分含量Y控制在0.99 2.采用继电法整定PID参数 3.整定效果验证：当被控过程参数时变时，如滞后时间由4→8，开环增益由3.4→6时, 讨论PID控制的响应速度及鲁棒性问题，考察当系统参数发生改变时，上述PID参数是否选取合适。 (Using integral separation PID control algorithm to control the top of the tower light component content Y 0.99 2. Verify tuning PID parameters of the relay method. Tuning effect: the change When accused of process parameters, such as the lag time from 4 → 8 open loop gain from 3.4 → 6 discussed PID control of the response speed and robustness issues investigated when the system parameters are changed, the PID parameters is selected for suitable.)

处理降雨量日志数据的小程序，去掉异常值，换算，统计，作图(Applet rainfall log data, remove outliers, conversion, statistics, mapping)

Turbo码的matlab仿真，很全很实用，多个子程序，经本人仿真测试过，性能很好，可以直接用于科研等实际仿真中(Turbo is a well performed code,having great effect on communicating)

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)