Getting_Started_Guide_Tinyos

阿呆正传，喜欢的可以看下，都是源代码，供参考学习(a small game)

CY7C63723 功能及其引脚描述，外围电路和仿真数据(The CY7C637 is an 8-bit RISC OTP microcontroller.)

说明：  针对充流管道单向流固耦合数值模拟过程复杂、数据在耦合传递中存在偏差的问题，采用 Ｃ＋＋语言编制了充流管道单向流固耦合数值模拟程序，实现了从模型建立、流体计算到结构分析 过程的自动化，确保了从流体计算到结构计算过程中数据传递的准确性．利用参考文献中的试验数 据验证了此程序计算结果的正确性，以实际发电厂的一段疏水管道为例进行单向流固耦合数值模 拟，描述了程序自动建立管道模型、模拟管内流体压力分布以及将流体压力数据导入管道结构中进 行管道应力计算的过程．结果表明：该充流管道单向流固耦合数值模拟程序具有结果准确、操作简 便的特点，可应用于多种充流管道的设计改造和风险预测中(Aiming at the complex numerical simulation process of one-way fluid-structure coupling in flow-filled pipeline and the deviation of data in coupling transmission, the method is adopted. C++ language has compiled the numerical simulation program of one-way fluid-structure coupling for filling pipeline, which has realized the process from model establishment, fluid calculation to structure analysis. The automation of the process ensures the accuracy of data transfer from fluid calculation to structural calculation. The correctness of the calculation results is verified by the program, and the one-way fluid-structure coupling numerical model is carried out for a section of)

说明：  Linux实战工程师笔记 Linux实战工程师笔记(Linux combat engineer combat engineers Linux Notebook Notebook)

统计信号处理入门，不错的通信教材(statistical signal processing entry, good communication materials)

说明：  the jtutj jfryr hfytr hfyryryrbfhf

这是一本国防电子信息技术从书中的一本——合成孔径雷达成像 算法与实现，是Ian G. Cumming[美]编写的，由洪文等翻译的。(This is a national defense electronic information technology from the book - Digital Processing of Synthetic Aperture Radar Data Algorithms and Implementation, is written by Ian G. Cumming [US], translated by Hong Wen et al.)

说明：  verilog 2005 IEEE 标准手册(IEEE Standard for Verilog 2005 Hardware Description Language)

说明：  自动控制原理第六版胡寿松主编课后习题答案详解(The sixth edition of automatic control principle)

PDF为文字版，可以复制，一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例，相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)