H-pwm

antenna and Electromagnetic modulation surce code

基于music的自适应滤波器matlab的应用仿真(Based on the music of the adaptive filter matlab application simulation)

《卡尔曼滤波与组合导航》，PDF版本电子书籍(" Kalman filtering and navigation" , PDF versions of e-books)

其中包括 matlab PPT版本介绍 和 MATLAB实例源文件()

平方根升余弦滤波器的设计.pdf ,很好的一篇介绍平方根升余弦滤波器的文章 (Design and implementation of square·——root raised cosine roll—Off digital filte)

分别利用一维logistic、三维lorenz混沌映射实现任意尺寸彩色图像加密与解密（像素值及其位置都发生了改变）。密钥为混沌序列初始值。（内有详细说明）(Respectively, using one-dimensional logistic, three-dimensional lorenz chaotic mapping to achieve any size color image encryption and decryption (pixel values ​ ​ and their positions are changed). Key to the initial value of the chaotic sequence. (With detailed instructions))

基于线性系统理论的MATLAB编程，包括对线性系统理论的各种实践应用(Based on the linear system theory of MATLAB programming, including the linear system theory of various practical applications)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

本章对该文档的目的、功能范围、术语、相关文档、参考资料、版本更新进行说明。(The purpose of this chapter to the document, functional scope, terms, related documentation, reference materials, updated version will be described.)

关于单载波频域均衡系统，判决反馈均衡的仿真。(On single-carrier frequency domain equalization using decision feedback equalization simulation material, and I hope to help you.)