jacobian

gold序列的生成 PN序列Gold序列极好的自相关性 生成64位的PN序列 (Gold sequence generated PN sequence gold sequence excellent correlation )

通过稳态图来识别对机械机构的振动信号，用有理分式多项式法进行模态参数识别(By steady-state map to identify rational fraction polynomial method of mechanical vibration signal, modal parameter identification)

chopper d simulution with matlab matlab matlab matlab matlab m

模拟通过一个高度非线性光子晶体光纤(PCF)传播的kW峰值功率孤子脉冲。(These scripts simulate femto-second soliton pulses, with kWs of peak power, propagating through a highly non-linear Photonic Crystal Fiber (PCF).)

介绍了一种新的估计波达方向算法UC-DOA，给出了仿真模型，仿真结果及性能分析(Introduces a new DOA estimation algorithm UC-DOA, the simulation model, simulation results and performance analysis)

本书是C++模板编程的完全指南，旨在通过基本概念、常用技巧和应用实例3方面的有用资料，为读者打下C++模板知识的坚实基础。 全书共5个部分，22章。第1章全面介绍了本书的内容结构和相关情况。第1部分（第2~7章）以教程的风格介绍了模板的基本概念，第2部分（第8~13章）阐述了模板的语言细节，第3部分（第14~18章）介绍了C++模板所支持的基本设计技术，第4部分（第19~22章）深入探讨了各种使用模板的普通应用程序。附录部分是一处定义原则和重载解析的相关资料。 本书适合C++模板技术的初学者阅读，也可供有一定编程经验的C++程序员参考。(This book is C++ template programming, The Complete Guide to through the basic concepts, techniques and application examples of three commonly used useful information for readers to C++ templates to lay a solid foundation of knowledge. The book is 5 parts, 22 chapters. Chapter 1 introduces the overall structure and content of the book relevant circumstances. Part 1 (2 ~ 7) tutorial style introduction to the basic concepts of templates, Part 2 (8 ~ 13) describes the details of the template language, Part 3 (14 ~ 18), introduced C++ template support for the basic design techniques, Part 4 (19 ~ 22) in-depth study of various common applications using templates. Appendix is a definition of the principles and relevant information overload resolution. C++ book for beginners to read template technology, but also have some programming experience for C++ programmers reference. )

信号与系统——连续与离散_MATLAB文件(Signals and Systems- Continuous and Discrete _MATLAB file)

课程设计做的车牌识别，运行licence_recognise.m选择实例图片，按空格单步，直到最后识别(Curriculum design license plate recognition, run licence_recognise.m select instances pictures, press the space single step, until the final identification)

Design a fuzzy system to approximate a function the function may not be defined analytically but the values of the function in n point is defined for example : x E [-3 3] g(x)=sin(x) the approximation is calculated a fuzzy set design our fuzzy function approximates sin function with an error less than 0.2 note : this program uses a function named isinrange so copy it to your directory

INTRODUCTION FOR MODEL PREDECTIVE