LFMCW线性调频连续波雷达测距测速代码，用在多目标情况，能正确反演出目标距离和速度

Multi-Agent Machine Learning A Reinforcement Approach

可用于FT245R,FT245B等元件的EEPROM焼写。

新！经典！排印错误已更正。 Jitendra R. Raol, "Multi-Sensor Data Fusion with MATLAB" CRC Press | English | 2009-12-16 | ISBN: 1439800030 | 570 pages | PDF | Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering.

适合初学数字图像处理的人群。利用C#的Bitmap，BItmaData，Graphic等类对数字图像进行处理，开发窗体程序等等。

在设计多层PCB电路板之前，设计者需要首先根据电路的规模、电路板的尺寸和电磁兼容（EMC）的要求来确定所采用的电路板结构; 本教程介绍多层PCB板层叠结构的相关内容，其中详细介绍了AD四层板的设计方法，用到的规则，内电层分割，实例讲解

多输出支持向量回归 对于一般的回归问题，给定训练样本D={(x1,y1),(x2,y2),...,(xn,yn)},yi€R,我们希望学习到一个f（x）使得其与y尽可能的接近，w，b是待确定的参数。在这个模型中，只有当f(x)与y完全相同时，损失才为零，而支持向量回归假设我们能容忍的f(x)与y之间最多有ε的偏差，当且仅当f(x)与y的差别绝对值大于ε时，才计算损失，此时相当于以f(x)为中心，构建一个宽度为2ε的间隔带，若训练样本落入此间隔带，则认为是被预测正确的。（间隔带两侧的松弛程度可有所不同） ------

正交频分复用(OFDM) 是第四代移动通信的核心技术。该文首先简要介绍了OFDM的发展状况及基本原理, 文章对OFDM 系统调制与解调技术进行了解析，得到了OFDM 符号的一般表达式，给出了OFDM 系统参数设计公式和加窗技术的原理及基于IFFT/FFT 实现的OFDM 系统模型，阐述了运用IDFT 和DFT 实现OFDM 系统的根源所在,重点研究了理想同步情况下,保护时隙(CP)、加循环前缀前后和不同的信道内插方法在高斯信道和多径瑞利衰落信道下对OFDM系统性能的影响。在给出OFDM系统模型的基础上,用MATLAB语言实现了传输系统中的计算机仿真并给出参考设计程序。最后给出在不同的信道条件下,研究保护时隙、循环前缀、信道采用LS估计方法对OFDM系统误码率影响的比较曲线,得出了较理想的结论。

博客地址为：https://blog.csdn.net/w5688414/article/details/84593705 用keras进行多标签分类的图片数据集，图片取自于NUS-WIDE数据集

As the computer industry changes from single-processor to multiprocessor architectures, this revolution requires a fundamental change in how programs are written. To leverage the performance and power of multiprocessor programming, also known as multicore programming, you need to learn the new principles, algorithms, and tools presented in this book. It includes fully-developed Java examples detailing data structures, synchronization techniques, transactional memory, and more. Prof. Maurice Herlihy, who coined the phrase "transactional memory," is on the faculty of Brown University. He is the recipient of the 2003 Dijkstra Prize in distributed computing. Prof. Nir Shavit is on the faculty of Tel-Aviv University and a member of the technical staff at Sun Microsystems Laboratories. In 2004 they shared the Gödel Prize, the highest award in theoretical computer science. * THE book on multicore programming, the new paradigm of computer science * Written by the world's most revered experts in multiprocessor programming and performance * Includes examples, models, exercises, PowerPoint slides, and sample Java programs