parameters_kalman_forPaper

说明：  music算法 计算功率谱密度 用matlab实现(music in matlab )

说明：  用MATLAB实现的不合格品率P控制图的绘制，只要将数据导入data.txt文件，然后在MATLAB中运行main.m文件即可打开绘图界面。（注意：路径要设置好）(the failure rate of P Commodities Control Map, as long as the data into data.txt documents, then in MATLAB run main.m document can be open graphics interface. (Note : To set a good path))

16QAM盲均衡,恒模算法，400次仿真，做出星座图，误差曲线(blind equalizaton for 16QAM,constant modulus algorithm，realization 400times ,constellation ,mmse curve)

盲源分离程序代码 用于信号处理和模态识别(Blind source separation program code for signal processing and modal identification)

在一副包含多幅动物的图片里根据蝴蝶的形状来识别出蝴蝶(In an image containing multiple animals in accordance with the shape of butterflies to identify butterfly )

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)

关于主成分分析matlab编程中的M文件(Principal component analysis of the M-file in the Matlab programming)

为进一步细化频谱，提取有效的时频特征值，将信号进行局域波分解，本程序为主要程序(For further specified spectrum, extracting effective time-frequency characteristic value, signal will be decomposed with local wavelet.)

压缩感知恢复算法，加速算法的一种，近似算法(Recovery algorithm)

说明：  产生伪随机序列的方法，C语言编写，调试通过。(Generate pseudo-random sequence, C languages, debugging through.)