MUSICSPACE

说明：  用随机数发生器产生二进制序列，他作为FSK调制器的输入。FSK调制器的输出受到概率a的加性高斯噪声污染，仿真得出系统的误码率。( Has the binary sequence with the random number generator, he takes FSK modulator s input. The FSK modulator s output receives probability the Canada Gauss noise pollution, the simulation obtains system s error rate. )

GPS rinex文件读取的MATLAB代码(source coed reading rinex data)

Arnold变化~~~matlab 含逆变换及周期计算(Arnold)

用matlab语言编的RF算法，有注释。RF算法一种性能较好的force-directed算法用来visualize small network(RF algorithm is one type of force-directed algorithm that is used to realize the small network visualization.)

一本关于SAR成像的书籍且包含SAR成像的matlab代码，非常值得学习(A book about SAR imaging, and the resources contain SAR imaging matlab code, which is worth learning.)

This is IP optimization method examples

介绍了解相干信号的MUSIC算法估计到达角的理论和仿真(Introduction coherent understanding of the MUSIC algorithm for signal DOA estimates of theoretical and simulation)

用基于拉格朗日函数Hesse矩阵的SQP方法求解约束优化问题(matlab: SQP based on modification Hesse matrix)

QAM和OFDM两种方式性能对比，具有图形界面GUI，并且包括收发两端完成的代码 (QAM and OFDM performance comparison of two ways, with a graphical interface GUI, and includes the sending and receiving ends to complete the code)

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 .)