programs

说明：  几点说明： 1、source_main.m为主函数，qpsk.m和spread.m为子函数； 2、在matlab工程目录下运行source_main.m即可； 3、为方便大家理解，特以P-CCPCH信道的处理进行了举例，若大家认为资料有用的话请回帖， 我会将整个WCDMA下行信号源的matlab代码提供给需要的人； 4、为方便初学者学习，特提供了我自己开发时参考的3GPP资料，并在关键位置做了记号。 (Some explanations: 1, source_main.m main function, qpsk.m and spread.m as Functions 2, matlab project directory can be run source_main.m 3, to facilitate us to understand, especially for P-CCPCH channel processing of the example, if we consider the information useful, please Replies, I will put the WCDMA downlink signal source matlab code available to people in need 4, for the convenience of beginners to learn, especially when providing a reference to my own development 3GPP information, and in key positions in the mark.)

这是一篇博士论文，中国知网上的，现在拿出来和大家分享(The Research Of Infeasible Interior Point Algorithms For Optimization)

针对二维图像和彩色图像的小波分解与重构，使用sym函数(Color image decomposition)

半导体器件物理里面BJT的相关MATLAB计算进行分析。(BJT MATLAB)

matlab与VPI联合仿真，光功率计的设计实现程序(matlab vpi power meter)

multisim 实现am dsb ssb 调制(multisim design)

考虑饱和凸极补偿的永磁同步电动机转子位置估计(Consider the position of permanent magnet synchronous motor rotor saliency compensation estimated saturation)

AVO地震响应，描述反射系数随炮检距的变化，为砂泥岩含气模型，属于第一类AVO(AVO seismic response, describing the reflection coefficient variation with offset for sand shale gas models belonging to the first category AVO)

用于检测微弱信号的Duffing系统，这是我的毕业设计一部分，因为我做的时候也曾求取过很多资料，但是并没有找到，因此在我完成之后，上传这个代码，希望这个能帮助别人。 里面还有后续做的GUI界面实现的Duffing振子检测功能，可检测信号幅值和频率。(The Duffing system for detecting weak signals, this is part of my graduation project, because I also asked for a lot of information when I did it, but it was not found, so after I finished, upload this code, I hope this can help others.)

CSPHANTOM is a test phantom tailored to compressed sensing MRI algorithm development. It is designed to be non-sparse under a gradient transform and to contain features difficult to reproduce with partial Fourier sampling. We hope that this phantom can be used to evaluate the quality and accuracy of compressed sensing MRI reconstruction algorithms in the noise-free domain so that real-world applications of CS MRI may be improved.