Du-matlab-code

BLDC Motor driver position and speed control. command through .m file

this is a digital image processing project on canny edge detection and color filter done in matlab .m files included

aloha防碰撞基本算法，用matlab仿真。非常好用哦(aloha basic anti-collision algorithm, using matlab simulation. Oh, very easy to use)

可模拟能量检测 在任职无线网络中的频谱感知中有重要应用(Can simulate the energy detection in wireless networks in office, there are important applications of the spectrum sensing)

matlab悬置系统频率与解耦率计算程序(matlab mounting system frequency decoupling rate)

卫星通信系统代码，主要是QPSK,MPSK相关通信代码(something about satellite communication)

Is a group of GUI files (MATLAB), this permit load and save differents mathematical functions and plots this

说明：  本人提交的用matlab的关于滤波器设计的作业，很有用的　(I used Matlab submitted on the design of filter operation, a very useful)

In this work, we are interested in the problem of the coding channel with impulsive noise, whose goal is to correct the errors due to the channel at the time of a numeric transmission. In particular, the convolutional turbocodes constitutes the last progress in this domain and it is very close to the theoretical limit predicted by Shannon in 1948. The objective of this work is to study and to test this coding with the modulation BPSK, to improve the bit error rate (BER) in presence a additive white impulsive GGD noise using the MAP algorithm.

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)