APVEIC3

face detection and face recognition system .a test code for reasercher

matlab code for bayseian algorithm

说明：  初学者的良师益友，高手的真正体显。初学者的良师益友，高手的真正体显。(IT IS VERY GOOD.)

产生白噪声的方法，调试通过，数据和代码都齐全。(to create gausse white noise)

搭建的双馈风力发电机变流器控制模型，我自己做项目的时候用过，效果很好，大家可以随便用。 (Converter control model of doubly-fed wind power generator, I was working as a project, the effect is very good, you can literally use. )

采用卡尔曼滤波技术对航位推算系统进行仿真。以小车在匀速运动为例，分两个方向分析。(Kalman filtering technique of dead reckoning system simulation. In the car in uniform motion, for example, in two directions analysis.)

用于计算二维光子晶体（用于计算二维光子晶体）(Used to calculate the two-dimensional photonic crystals (used to calculate the two-dimensional photonic crystal))

说明：  Description : This package includes a configurable Simulink model for three different types of DC-DC converters (Buck, Boost and Buck-Boost converters) with a PWM PI controller. The example provided shows a case to boost voltage 5 volts to 25 volts. It can be used to learn DC-DC converters and their control. The model itself also provides an example how to mask a subsystem in Simulink. A HTML and a pdf files are provided to explain the principles of the unform Simulink model for three different types of DC-DC converters. The model does not require other Simulink blocks, such as SimPowerSystems.

这是一个低通抽样定理，例题中包括了低通信号的波形，抽样速率为4Hz的抽样信号，抽样序列恢复出原始信号(This is a low-pass sampling theorem, examples included in the lowpass signal waveform, the sampling rate is 4Hz sampling signal to recover the original signal sample sequence)

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))