mbp

人脸识别的最基本的算法PCA，主要是描述了特征值法的基本原理，内容很详细。(Most basic algorithm for PCA Face RecognitionFace recognition algorithm is the most basic PCA, mainly describes the basic principles of characteristic value method, content, very detailed.)

这是一个关于hough变换的MATLAB源程序(hough change)

matlab时频分析配套源码第12章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 12 procedures, please share)

近场天线测量课程——角锥喇叭方向图的计算程序（详细备注） 分析了一个实际角锥喇叭的远场方向图，还有利用FFT编程实验(Near Field Antenna Measurement Course- Calculation Program of Angle Cone Horn Pattern)

bpsk误码率，做毕业设计常用到的哦，题目是单入单出系统的误码率和信噪比的关系图(bpsk error rate, used to do Oh graduation, into a single topic is the system single-bit error rate and signal to noise ratio graph)

matlab，短时傅里叶变换代码，源码！(Short time Fourier transform code)

是一个基于遗传算法改进的模糊C均值算法，很不错的代码。(It is a improved fuzzy C-means algorithm based on genetic algorithm , a very good code. )

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

用于读取MIT的心电数据的MATLAB代码(be used for reading the ecg of MIT)

对基于粒子滤波的目标跟踪进行仿真，附带有最后仿真的视频。(Based on the target tracking particle filter are simulated, accompanied by the simulation of the video.)