Constant_PQ_LCL

说明：  利用matlab仿真GaAs/AlGaAs量子阱材料的载流子特性(simulate the electrons and holes characteristics in GaAs/AlGaAs QW)

说明：  多光束干涉，可以选N束光,偏振等不可以选择，模拟光子晶体的产生(Multiple beam interference, can choose N beam of light)

m-fsk modulation and de modulation

ISAR目标仿真回波在加入不同噪声下利用不同时频分析工具进行分析的MATLAB例子(MATLAB examples of ISAR target echo signals simulation and the time-frequency analysis with different time-frequency tools when adding different noise to the echos)

能够非常有效地在比较大的干扰下比较准确地反映真实值，如果观测端加入干扰较大时，卡尔曼滤波器能够较为有效地进行滤波，不过当状态端的干扰增大时，卡尔曼滤波器的滤波效果也会随之下降。(Can very effectively in the relatively large disturbances under more accurately reflect the true value, if the observation end joining interference is large, Calman filter can effectively filter, but when increasing the jamming state end when the filter effect of Calman filters will fall.)

用于绘制双曲地震同相轴，以便后续的处理工作，非常有用(draw hyperbolic events)

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)

说明：  matlab通信系统仿真例程，包括信源编码，信道编码，数字调制等(Matlab communication system simulation routines, including source coding, channel coding, digital modulation, etc)

张德丰，《小波变换的matlab》，附带的程序，觉得这本书很好，很不错，值得参考(The wavelet transform matlab" , attached to the process, feel that this book very good, very good, it is also useful)

2005年J.S.Smith提出的局域均值分解LMD(Local mean decomposition)的原始文献，该方法可用于故障诊断、特征提取、振动信号分析等多领域，是较EMD更为温和的一种自适应算法，目前是热门研究方法。(This is the original article about LMD——Local mean decompositon. Ihis method is a novel adaptive decomposition. It is more better than EMD and achieve more and more attention.)