calibration

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)

matlab code for M-code LaTeX Package

无线充放电中的谐振网络仿真设计，有助于了解谐振网络。(The simulation design of resonant network in wireless charge and discharge is helpful to understand resonant network.)

这是图像融合中空间转换的MATLAB代码(This is the image fusion space conversion of MATLAB code)

it is a speech recovery system which can remove noise from received signal

用Matlab对任一一张图片进行处理，编制基于GUI格式的数字图像处理工程(Using Matlab to either a picture processing system based on GUI format, the engineering of digital image processing)

是一个模拟三维的电磁波传输算法，有动画演示，用的是PML吸收边界条件(three FDTD)

that the performance is improved by increasing N, and probability of detection can be improved by increasing N value even if the SNR is much lower, as long as N is large enough without noise uncertainty.

截断奇异值分解，可用于反问题中减小矩阵的条件数(TSVD，used in inverse problem for decreace the conduction number of matrix)

this code is for LMS Algorithm