RTHS_Base_Isolation_DEMO_to_publish

mtch projest must read

matlab中的libsvm工具包，是smo支持向量机算法，可用于解决非线性的回归问题。区别于最小二乘支持向量机。(Matlab libsvm Kit is to smo support vector machine algorithm that can be used to solve nonlinear regression problems. Different from the least squares support vector machine.)

this program is designed for solving the two dimensional photonic structure

ofdm有关信噪比与误码率的matlab仿真，包含QPSK星座图。(Matlab OFDM simulation of the signal to noise ratio and the bit error rate, contains the QPSK constellation.)

实现 AWGN信道下的理论误码特性和仿真误码特性，GSM系统卷积码在AWGN信道的误码特性，GSM系统卷积码在突发信道和AWGN信道的误码特性，GSM系统卷积码和交织编码在突发信道和AWGN信道误码特性(AWGN channel to achieve the theoretical BER performance and simulation of BER performance, GSM system, convolutional code in AWGN channel BER performance, GSM system, convolutional code and the AWGN channel in the burst channel error characteristics, GSM system, convolutional codes and interleaved coded in the emergency channel and AWGN channel BER performance)

CRC纠错原理及其Matlab仿真,]CgC(Cyclical Redundancy c融jcin蛰糖薹l：冗务搜验碡是一砖赣要娉践往分缀码，通过多磺式聚法撩溅错误，是在数撼逶髂争数撩 压缩中广泛应蘑的裣褥棱验的循环码。(CRC error correction theory and Matlab simulation,] CgC (Cyclical Redundancy c sugar into hibernation jcin Carex l: redundant works are found post-mortem one brick stone roller want Jiangxi Jian-ping up to the sub-code, through the many law-methyl-polybutadiene tease splashing errors are in a few struggle to shake a few Wei iliac tease Compression in a wide range of mattress should Comatus Prism code inspection cycle)

功能：对矩阵A的左上角的m阶对角块作QR变换：先用Givens变换作QR分解A=QR， 再作相似变换A:=Q AQ=RQ. 输入: n阶HessenbergA，其中A(m+1,m)=0,m>2. 输出: 变换后的Hessenberg形矩阵A. 2 用基本QR算法求实方阵的全部特征值.(Function: the upper left corner of the matrix A, diagonal blocks of order m to QR transformation: first, to make QR decomposition using Givens transformations A = QR, re-similarity transformation A: = Q' AQ = RQ. Input: n-order HessenbergA, where A (m+1, m) = 0, m> 2. Output: transformed Hessenberg form matrix A. 2 matrix with the basic QR algorithm for all the characteristics of the value of truth-seeking.)

设计学习有用的matlab介绍文章，可以看一看(good book)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

Space-Time Codes and MIMO Systems中的Fig2.12的代码，书中的代码有误(This code is uesed for simulation for the book Space-Time Codes and MIMO Systems , Fig 2.12)