cordic_EasyMatlab

四进制差分相移键控(键控调制方法)，樊昌信《通信原理》内容(Four M-ary differential phase shift keying (keying modulation method), Fan Changxin " Communication Theory" content)

makeresampler函数MATLAB原代码，是IMRESIZE程序丽的子函数(makeresampler function of the original MATLAB code IMRESIZE procedures Korea is the Functions)

pixel by pixel feature extraction

HYMAP Generates abundance fractions with Dirichlet statistics distributions

音频均衡器，Matlab Simulink模块，实现参数可调的音频均衡器，5段均衡(Audio equalizer, Matlab Simulink module, adjustable parameters to achieve the audio equalizer, 5 balanced)

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.)

最大最小蚂蚁系统优化算法求解TSP问题，最优化遍历所有城市。(Max Min ant system optimization algorithm for TSP, optimization through all cities.)

基于matlab的一个小程序，用GUI可能简单些(maybule you should sese)

小波用于去噪程序，MATLAB语言开发，实用性很强(Wavelet used for denoising procedure, MATLAB language development, are very practical)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization