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说明：  dll for personal medical uses

lDPC校验矩阵的环检测。包括4环检测算法，6环检测算法及8环检测算法。还包括一个准循环LDPC奇偶校验矩阵的生成算法。(this algrithm can search cycles in LDPC parity check matrix。It contain cycle-4 cycle-6 cycle-8 test algrithm.It also contains a algrithm for generate the LDPC quasi-cyclic parity check matrix )

粒子滤波例程，用于无杂波环境下的目标跟踪。(Particle filter routines for non-target tracking in clutter.)

这是一个有关parzen窗估计的代码，用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数，附有matlab程序。(This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of kernel function, with matlab program.)

PSAT software for analysis power system

本程序基于Matlab，可以对特定波长光线在透镜系统中进行光线追迹。可以生成任意方向平行光，点光源任意角度光线，并对全反射，光线射出系统等特殊情况用红色标出。透镜数任意，透镜参数可设。(The program is based on Matlab, with a specific wavelength of light in the lens system for ray tracing. Parallel light can be generated in any direction, at any angle point source of light, and the reflection of light injection system and other special circumstances marked in red. Any number of lenses, lens parameters can be set.)

MATLABLE学习书籍电子版，从简单到困难，提高给大家参考(MATLABLE learning books electronic version, from simple to difficult, to improve to everyone reference)

matlab中的高斯混合模型代码，机器学习基础学习(Gaussian mixture model matlab code, machine learning based learning)

This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/performance tradeoffs.(This lab exercise will cover the use of Acce lDSP's design exploration capabilities that i nclude mapping variables to memory and unrolli Vi loop and vector operations. You will learn ho w to create different hardware architectures w ithout modifying the MATLAB source to explore d ifferent area/performance tradeoffs.)

在matalab开发环境下的实现时域信号多尺度的分析，可用于信号的特征抽取和故障诊断(Multi-scale analysis of time-domain signal achieved in matalab development environment can be used for feature extraction and fault diagnosis signal)