lowpass-filter

ARTIFICIAL NETWORKS EXAMPLS

FilterTitleOverlay字幕叠加的filter(FilterTitleOverlay subtitles superimposed filter)

包括两种算法的信道估计，lmmse和ls算法，文件还包括一个小m序列的产生函数，可以方便的产生需要的小m序列(There are two types of channel estimation algorithm, lmmse and ls algorithm, the document also includes a small m sequences and functions, can easily generate the required small m sequence)

选择db10 小波和db10 小波两个小波函数实现了小波变换(Choose two db10 wavelet and wavelet db10 wavelet function implementation of wavelet transform)

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

利用Hu矩对26个英文字母进行提取和识别(Using Hu moments of the 26 English letters are extracted and recognized)

matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

This code is a subprogram for Waterfilling algorithm...

Lozi混沌映射的线性反馈控制，给出了一般形式下的Lozi系统的混沌运动被控制到不动点的参数范围.并对Lozi映射的1个混沌吸引子进行了有效控制 (Lozi map chaotic linear feedback control, gives the general form of the Lozi system to be controlled chaos of the parameters of the fixed point range and Lozi map of a chaotic attractor for the effective control)

用遗传算法求解函数最优问题，注释详细，过程详细，值得参考和学习，稍微修改能用于解答其他问题！(Function using genetic algorithm optimization problem, detailed notes, the process in detail, it is worth reference and learning, a slight modification can be used to answer other questions!)