radar_edition1

说明：  C++ Primer第四版，光盘源码！如果你已经有电子书了，那赶快来下这个吧！(C++ Primer Fourth Edition, CD-ROM Source! If you already have e-books, then as soon as possible to the right under!)

在visual c++环境中，使用ADO技术进行数据库编程(In the visual c++ environment, the use of ADO database programming techniques)

说明：  有关应用matlab编写的有限元函数,其中包含了一些最基本的有限元的基本函数,对于应用有限元法模拟电磁场欧很大的帮助(Matlab prepared for the application of the finite element function, which contains the most basic finite element basic function, using the finite element method simulation of electromagnetic fields in Europe a great help! !)

说明：  电子战辐射源探测与定位随书光盘,这本书分为三个部分：探测，到达角估计，和地理定位。每一节从介绍相关信号处理理论（检测或估计）开始，然后提供一系列章节，涵盖实现所需最终产品的特定方法。(The book is divided into three parts: detection, angle of arrival estimation, and geolocation. Each section begins with an introductory chapter covering the relevant signal processing theory (either detection or estimation), then provides a series of chapters covering specific methods to achieve the desired end-product.)

三相三线制APF仿真模型，控制方法采用滞环，谐波检测采用ipiq(APF simulation model of three phase and three wire system, control method adopts hysteresis loop, and harmonic detection adopts ipiq)

D-S证据理论数据融合，现代信号处理中谱估计在matlab中的使用，仿真效率很高的。( D-S evidence theory data fusion, Modern signal processing used in the spectral estimation in matlab, High simulation efficiency.)

构成不同频率的调制信号，基于K均值的PSO聚类算法,窗函数法设计一个数字带通FIR滤波器。( Constituting the modulated signals of different frequencies, K-means clustering algorithm based on the PSO, A window function design FIR digital band-pass filter.)

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.)

有趣的二进制 软件安全与逆向分析学习资料，希望能绑到有需要的人(Interesting binary software security and reverse analysis learning materials, hoping to be tied to people in need)

课本所有章节的代码，对应课本每章节每个案例代码均有，可以放心使用(Code for all chapters of the textbook)