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matlab 感知机实验源码（神经网络课程实验一）(Perceptron test matlab source)

可以通过计算机向下位机发送串口数据,适合初学者，用matlab实现(send data from pc)

Matlab codes on Reed Solomon codes

说明：  系统误差发现，matlab实现5种方法的系统误差发现(System errors found, matlab 5 ways to achieve the systematic errors that)

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。 全书包含 390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。(This book chapter describes the system integration MATLAB6.5 work platform, the reader will be the beginning of the basic use of MATLAB. Second, the four chapters, system, MATLAB6.1 basic data types (numeric arrays, strings, arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) are separate sections above. Since then, the book points out with nine separate chapters MATLAB6.5 of numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone applications generated, to achieve interaction of different software platforms API, M-book data, graphical environment for integration of the eight general-purpose language Function. Book with a special chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation, and the MATLAB interactive features. The book contains more than 390)

BLDC的仿真，描述了3相直流电机的仿真，并且在突加电压等情况下分别描述了电机的状态(The simulation of BLDC, describes the simulation of 3 phase DC motor, and in the case of sudden voltage respectively described click state)

说明：  对机械类振动信号处理，幅值谱，相位谱，自功率谱，自回归谱等(For mechanical vibration signal processing, amplitude spectrum, phase spectrum, self power spectrum, auto regression spectrum, etc.)

说明：  一个MATLAB实现模糊神经网络的程序，希望对大家有帮助(A MATLAB procedure of fuzzy neural network, we want to help)

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