full-lifting-with-quantisation

电容检测不仅用在您的智能手机中；在必须与人体皮肤接触的医疗设备等产品中，它也有用武之地。本文介绍如何使用电容检测来确定设备表面与用户皮肤的接触质量(Capacitive sensing is not only used in your smartphone to be in contact with human skin in medical equipment and other products, it also have its uses. This article describes how to use capacitive sensing to determine the device contacts the skin surface and the quality of the user )

自己编程产生一种二进制频率调制信号，为数字调制信号的识别做准备。( programming to produce a binary frequency modulation signal, the recognition of digital modulation signals in preparation.)

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导者初会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。(This book chapter describes the system integration work MATLAB6.5 platform, will guide the early MATLAB basics. Second, the system described in chapters four MATLAB6.1 basic data types (numeric arrays, string arrays, cell arrays, structure arrays), as other extended data types (function handle, symbol data, inline functions, unit array , sparse class) is to open another chapter specifically mentioned. Since then, the book points out with nine separate chapters MATLAB6.5 numerical calculations, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application to generate and realize different software platforms to interact API, M-book data in graphical text such as the eight general-purpose functions integrated environment.)

Scene completion.This is a toy implementation of Scene Completion Using Millions of Photographs for 6.870 Object Recognition and Scene Understanding.(This implementation uses a of 54,000 256x256 images the Oliva lab for which we already have gist-based nearest neighbors data. )

线性回归算法 用matlab实现多元线性回归，用最小二次方法来求回归模型的系数及标准差(computes estimates of a multivariate least square regression, the standard errors of the coecients.)

求解梁频率，振型，应用matlab进行简支梁的模态分析(Application matlab solving beam frequencies and mode shapes, modal analysis, etc.)

可以自定义精度（最小频率分辨率）的FFT频谱细化算法：FFT-FT(Can customize the precision (the minimum frequency resolution) of the FFT spectrum thinning algorithm: FFT-FT)

运用盲均衡cma算法来实现源信号的恢复，效果明显4QAM(cma test blind equalization)

最大信噪比的独立分量分析算法，包含CV、CA、Single、当前、恒转弯速率、转弯模型，可以实现模式识别领域的数据的分类及回归。( SNR largest independent component analysis algorithm, It contains CV, CA, Single, current, constant turn rate, turning model, You can achieve data classification and regression pattern recognition.)

Decldata source code for mac system 7 - resource files