chap6

this method makes LPC coefficients wiouth LPC function

LTE中，从CRC循环校验到最终Turbo编码输出(LTE, from CRC cyclic check to the final output of Turbo coding)

matlab code for histogram equilizatiion

实现了在地震记录中拾取地层的Q值，然后对Q值进行补偿(Pickup achieved in the formation of the Q value of the seismic records, and Q values ​ ​ to compensate for)

这是一个用matlab写的hash函数，相信对用matlab做实验仿真的同学有所帮助(This is a hash function written in matlab, I believe that using matlab simulation experiments help students)

Bluetooth Voice Transmission Matlab/Simulink R13 Version

K均值聚类算法，里面的wdbc是数据。用matlab写的(K-means clustering algorithm, which is wdbc data. Written by matlab)

鲁棒式主成分分析的实例，包含matlab程序，可以帮助理解鲁棒式主成分分析，也可以作为编程的参考。(Examples of robust type of principal component analysis, including matlab program that can help understand the type of robust principal component analysis, programming can also be used as a reference.)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

基于MATLAB_SIMULINK交流变频调速系统的仿真研究，对spwm交流变频调速进行仿真(spwm)