太阳影子定位技术

Coupling Matrix Optimizer v1.0.zip

LCMV优化设计阵列处理信号，matlab开发工具箱中的支持向量机，给出接收信号眼图及系统仿真误码率，最终的权值矩阵就是滤波器的系数，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，现代信号处理中谱估计在matlab中的使用。

本源码包参考英国Southampton大学Robert G. Maunder教授2008年的EXIT charts开源demo，给出了通用(分量码多项式可自定义)并行级联Turbo码的EXIT charts的作图源码。同时可完成迭代轨线、BER等值线的绘制等工作。 由于对于码块长较大的情形仿真需要较长时间，源码包也给出了部分分量码多项式的仿真结果，可直接用于绘图。 源码包还给出了最经典的S.Ten Brink介绍EXIT charts基本原理的参考文献，以及本人对通信系统中迭代译码过程分析技术综述的小论文，希望对大家有所帮助。

  本代码实现用离散二维卷积处理图像。卷积（Convolution）是一个常用的图像处理技术，可以改变像素强度，从而影响周围其他像素的强度。使用卷积就是为了提取显著特征，减少特征维数，减少计算量。

这项工作的目的是研究传输能力计算方法和传输能力评估程序的开发。该项目还旨在；

Vehicom LTE Link Level Simulator (The LTE link level simulator is a comprehensive simulation software used for algorithm development, performance evaluation and system validation associated with LTE systems. The simulator have Matlab and C versions. The C version simulator consists of optimized algorithms which can be easily transferred to DSP platform. All the functional blocks provide dynamic memory allocation for data blocks and easy settings of parameters offering advanced user flexibility to customized simulation. When compared to other LTE simulation tools such as Steepest Ascent LTE toolbox and IsWireless LTE PHY Lab, our software not only provides a friendly GUI with various settings, user defined input and output data, and open architecture to integrate user defined function blocks, but also integrates our proprietary high-speed channel models for vehicle applications and high-speed trains applications. The The key features of the LTE link level simulator are summarized as below: 1) fast simulation speed, 2) )

说明：  萤火虫算法FA的动态描述。可以展现动态迭代的过程(FA' s dynamic description firefly algorithm. You can show dynamic iterative process)

For signal processing fractional Fourier transform matlab source code. Members wish to be useful Description：Fractional Fourier transform, chirp signal decomposition-type realization of fractional Fourier transformMATLAB release：MATLAB 7.14 (R2012a)

Region Growing by Dirk-Jan Kroon

计算机视觉领域中的lbp特征提取的matlab代码(the matlab code of the lbp feature extraction in the computer vision domain)