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说明：  外国大学做的路径跟踪仿真，可以参考的源码。。(Path tracking simulation by foreign universities)

说明：  csma模型的仿真，可以参考 slotted CSMA simulation(CSMA model simulation, can refer to slotted CSMA simulation)

信息光学数字实验室（matlab版）随书源码(Optical digital laboratory (matlab version)，the book code)

C++经典教程《Accelerated C++》，中文翻译版，复印版(failed to translate)

这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways.)

说明：  数字信号处理教程MATLAB实现与释义陈怀琛编 课件PPT 代码实例(Realization and interpretation of digital signal processing course on MATLAB edited by Chen Huaichen &PPT&code examples)

这是一个在matlab软件下的电机数学模型仿真程序，大家如果有研究这方面的课题的话，或许有用！(This is a matlab software in the motor mathematical model simulation program, if everyone has looked into this aspect of the subject, then, might be useful!)

前推回代法求解配网潮流（电流、电压、功率）(disflow)

生成脉内波形 ，仿真脉内数据 ，在脉内基础上进行分析(Generating intra pulse waveform and simulating intra pulse data)

是小学期课程设计的题目，包含特征值与特征向量的提取、训练样本以及最后的识别，多机电力系统仿真及其潮流计算。( Is the topic of the elementary school stage curriculum design, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Multi-machine power system simulation and flow calculation.)