资源列表
panmao
- BP神经网络的整个训练过程,考虑雨衰 阴影 和多径影响，非归零型差分相位调制信号建模与仿真分析 。- The entire training process BP neural network, Consider shadow rain attenuation and multipath effects NRZ type differential phase modulation signal modeling and simulation analysis.
pengbun
- 意信号卷积的运算,并且绘制图象，已经调试成功.内含m文件，可直接运行，包括数据分析、绘图等等。- Convolution operation is intended to signal and image rendering, Has been successful debugging. M contains files can be directly run, Data analysis, plotting, etc..
fcls
- 利用全局控制最小二乘法（FCLS）可以对遥感影像进行丰度反演-Least squares method using the global control (FCLS) remote sensing images can abundance inversion
AUC
- 链路预测中十种局部相似性指标，AUC衡量算法的效率-Ten local similarity indices in link prediction, the efficiency of AUC algorithm
LinkPrediction
- 链路预测matlab源码，通可得出链路预测的基本实验效果-Link prediction matlab source code, through the link to predict the basic experimental results
1_Firing_Pulse_Generation
- A MPPT, or maximum power point tracker is an electronic DC to DC converter that optimizes the match between the solar array (PV panels), and the battery bank or utility grid. To put it simply, they convert a higher voltage DC output solar panels (and
filter-in-video-sequences
- 粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
lu-reduction
- 完成关于矩阵分解的LU算法，通过网页形式展示结果-lu reduction
SSDD6lab
- 系统级编程实验2，此实验为软件学院的系统编程常用实验项目-System-level programming experiment 2, this experiment is commonly used in software colleges
CQuicksort
- 此实验是数据结构课上使用的快速排序的优化算法，代码比较完全-This experiment is the data structure class used in the fast sorting optimization algorithm, the code is more complete
CList
- 此实验是数据结构课后试验，用于链表的一般使用，及部分优化-This experiment is a data structure after-school test, for the general use of the list, and part of the optimization
FILTER
- 采用巴特沃兹滤波器，分别有低通、高通、带通三种滤波器，注释也比较清楚。-Using Butterworth filter, respectively, low pass, high pass, band pass filter types, annotations are also clear.