samg_user22c-11

This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules(This packet is a IS-95 baseband simulation for a channel data rate of 9.6 KBps. The simulati on is written for static channel and AWGN noise. The packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules)

LTE 系统级仿真 希望大家多多指教！！！！！(LTE SYSTEM LEVEL)

this source cod to transformer matlab

MATLAB经典示例 以示参考 十分有用(MATLAB classic example to show reference useful)

LBM方法的shan-chen两相流分离模拟(LBM method shan-chen two-phase separation simulation)

SAR CS成像算法，学习合成孔径的值得参考。(SAR CS imaging algorithm, it is also useful.)

利用FABLES仿真平台开发元胞自动机，并模拟交通流中自行车流的行为现象。(FABLES simulation platform developed using the cellular automata and simulate traffic flow behavior in the bicycle flow phenomena.)

大气湍流 相位屏 大气信道模拟，改善的相位屏(Atmospheric turbulence phase screen)

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 .)

matlab高级讲义，希望对初学者有用。里面有根讲义配套的程序代码(matlab advanced lectures, I hope it will be useful for beginners)