huffman

Simple function that given a matrix of exact values and a corresponding matrix of aproximated values determines diferent error types and the error percentage.

这时用matlab编写的复杂网络的程序。里面有三个文件。分别是ba模型及子程序，以及小世界模型的源代码(At this time written in complex networks using matlab programs. Inside there are three files. Are ba model and subroutines, as well as small-world model of the source code)

This circuit uses the AC6 block of SimPowerSystems™ library. It models a permanent magnet (PM) synchronous motor drive with a braking chopper for a 3HP motor. The PM synchronous motor is fed by a PWM voltage source inverter, which is built using a Universal Bridge Block. The speed control loop uses a PI regulator to produce the flux and torque references for the vector control block. The vector control block computes the three reference motor line currents corresponding to the flux and torque references and then feeds the motor with these currents using a three-phase current regulator.

Matlab implementation for classic kalman filter predicting linear motion.

Fourier coherence This program calculates the fourier coherence of a signal using cpsd function of matlab. Input and output are explained in file.

基于二维平面模版的黑色光点图像摄像机定标中的程序(Template based on two-dimensional image of the black spot in the camera calibration procedure)

使用高阶累积量对MPSK信号进行调制识别，通过matlab代码，代码里有很完整的注释和解释。( Using high-order cumulants of MPSK signal modulation recognition, By matlab code, Code, there are very complete notes and explanation.)

8位相移键控误码率分析的MATLAB程序(8 phase shift keying bit error rate analysis of the MATLAB program)

从均匀PCM方法入手，产生一振幅为1和频率ω=1的正弦信号，分别用8电平和16电平进行量化，在同一坐标轴上绘出原信号和以量化信号，并比较这两种情况下的信号/量化噪声比(Starting from the uniform PCM method to produce a 1 amplitude and frequency ω = 1 of the sinusoidal signal, respectively, with 8 levels and 16 levels were quantified in the same plot of the original signal and the axes to quantify the signals, and to compare these two cases, the signal/quantization noise ratio)

模式识别作业，贝叶斯估计，采用parzen窗函数估计法，窗函数选择正态窗函数。(Pattern recognition task, Bias estimates, using the Parzen window function estimation method, choose normal window window function.)