NIT-rourkela-final

lms算法的MATLAB的仿真程序，是主要的程序(lms algorithm procedure)

matlab程序实现均匀量化和非均匀量化的过程(matlab program to achieve a uniform quantization and non-uniform quantization process)

C#调用MATLAB的程序,要求系统装有framework库和matlab运行时库,drawgraph.m 为matlab,要事行用matlab编译成一个.dll,源码中提供的入在Bin/debug下面.(MATLAB procedures, System requirements with the framework and Matlab runtime library, drawgraph.m of Matlab, important trip with a Matlab compiled. dll. The source provided income Bin/debug below.)

Underdetermined Anechoic Blind Source

两个向量的内积，外积，正交的实现以及可视化，matlab例程，可实现向量的内积，外积，以及正交的可视化(Inner product of two vectors, outer product, orthogonal realization and visualization, matlab routines, enabling vector inner product, outer product, and orthogonal visualization)

很好很实用的matlab工具函数包括：插值与拟合等相关问题的实现(Nice and useful tool matlab functions include: interpolation and fitting, and other related issues to achieve)

对广义高斯分布有个基本的认识，为以后的应用打下基础(The generalized Gaussian distribution have a basic understanding of lay the foundation for future applications)

摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 (Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar tificial immune system to solve multiobjective optimization problems. )

实现YUV格式视频序列向RGB视频序列转换(Achieve YUV format video sequence to convert RGB video sequence)

针对光伏电池的MPPT算法模块，本例中的MPPT算法使用的是扰动观察法。(MPPT algorithm module for a photovoltaic cell, the MPPT algorithm used in the present embodiment, the disturbance observer method.)