calcLocalizationCRB

pegasis路由算法！MATLAB模拟，适合初学者。(pegasis routing)

在matlab环境下，构造LDPC码的校验矩阵的各种方法，包括Gallager构造法，Mackay构造法，PEG构造法，对以后的编译码算法有很大的帮助。(In the matlab environment, various methods LDPC code parity check matrix structure, including Gallager construction law, Mackay construction law, PEG construction method, after encoding and decoding algorithms are of great help.)

MATLAB IMPLEMENTATION OF STAR ALGORITHM

基于混沌理论构建的信号检测系统具有敏感微弱周期信号和对噪声有强免疫力的特点,用于微弱信号检测领 域优势明显。实验室内研究需要产生包括混沌噪声在内的各种噪声,并叠加微弱周期信号作为微弱信号检测系统的信号 源。介绍一种基于LabVIEW平台并结合Matlab计算模块的混沌噪声发生器,可产生典型的3种混沌噪声:Logistic,Duff2 ing,Lorenz形式。该发生器将LabV IEW易于接口实现和Matlab计算精度高、编程简捷的特点相结合,具有结构清晰、通用 性强、易于实现、使用方便的特点。 (Built based on chaos theory, sensitive signal detection system with weak periodic signal and has a strong immunity to noise characteristics of the area for weak signal detection have obvious advantages. Laboratory studies need to generate, including noise, chaos, including a variety of noise and superimposed weak periodic signal as a weak signal detection system, signal source. Introduction of a platform based on LabVIEW and Matlab calculation module with the chaotic noise generator can produce the typical three kinds of chaotic noise: Logistic, Duff2 ing, Lorenz form. The generator will be LabV IEW easy interface, and Matlab calculation of high accuracy, simple programming features combined with a clear structure and versatility, easy to implement, easy to use features.)

为stanford大学donoho教授所编写的redgit变换源代码。是用c编写的，但已转化至matlab环境使用。(For stanford university, prepared by Professor Donoho redgit transform the source code. C is prepared, it has been transformed to use the matlab environment.)

说明：  Copula函数，以及相关性计算和相应的散点图(Copula compute)

this file contains matlab code

from Shortten DVB-S2 LDPC 64800 code into 8100 The program can produce the parity check matrix of DVB-S2 LDPC 64800 with short length code of 8100.

包含霍夫曼编码，算数编码，LZ编码以及GUI界面(Include Huffman coding, arithmetic coding, LZ coding and GUI interface)

EigenFaces algorithm for face recognitionwith GUI interface(load_database.m,eigenface.m,eigenfaces.fig)