搜索资源列表
Kalman--HF-radar-
- 一种基于卡尔曼加权融合算法的双基高频地波雷达选频方法-Weighted fusion algorithm based on Kalman bistatic HF radar frequency selection method
MPC
- 一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型.根据每个局部模型分别设计子GPC控制嚣,通过跟踪工况变化对于 控制器加权以获得控制增量.仿真结果表明该方法可取得令人满意的控制效果. 关键词:多模型;非线性系统;模糊聚类;预测控制-multiple model based predictive control for a class of nonlinear systems
MULTIPLE
- 一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型.根据每个局部模型分别设计子GPC控制嚣,通过跟踪工况变化对于 控制器加权以获得控制增量.仿真结果表明该方法可取得令人满意的控制效果. 关键词:多模型;非线性系统;模糊聚类;预测控制-multiple model based predictive control for a class of nonlinear systems
weighted-spatial-
- 多径条件下基于加权空间平滑的阵元幅相误差校正-Multipath based on weighted spatial smoothing array element amplitude and phase error correction
running-radial-
- 基于径向基神经网络的设备运行状态新信息加权预测模型研究-New Information Weighted prediction model based devices running radial basis function neural networks
IMM_UKF
- 在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
jiaquankuaisurnghesuanfa
- 加权多分辨率图像融合的快速算法--基于定义的相关信号强度比, 提出了一种加权多分辨率图像融合的快速算法。同传统加 权多分辨率图像融合方法相比, 算法具有较低的计算复杂度。实验结果表明, 该算法同传统加权多分辨率图像融合方法一样, 能够产生良好的融合效果。-A fast algorithm of weighted multiresolution image fusion--Using the defined correlated signal intensity ratio, propose
ct
- 近年来比较新的压缩传感运用到CT重构,有TV加权,高阶TV等,效果都很好-A Novel Weighted Total Difference Based Image Reconstruction Algorithm for Few-View Computed Tomography
liangyuan_lbp
- 滴流的lbp算法 主要是层流的高度问题 我自己改造的层流重建 - 加权修正高斯牛顿 -算法算法-The trickle of LBP algorithm Mainly is the height of the laminar flow problem My own transformation of laminar flow reconstruction- weighted modified gauss-newton algorithm- algorithm
Weighted-HMM-AR-model
- 一种基于加权隐马尔可夫的自回归状态预测模型-Based on weighted HMM state autoregression prediction model
SlopOne-weighted-algorithm
- 自然语言与伪代码说明SlopOne加权算法,实现电影评分系统,主要用于云计算比赛,工作,项目等人员请勿下载,以免误导-Natural Language and pseudo-code descr iption SlopOne weighted algorithm, film scoring system, mainly for cloud computing game, work, projects, etc. who do not download, to avoid misleading
LFM-hamming-jiaquan
- 线性调频(LFM)脉冲压缩hamming加权 matlab 仿真!-Linear frequency modulation (LFM) pulse compression hamming weighted matlab simulation!
whfoh
- 本文讲述如何利用Matlab Image Processing Toolbox中的图像配准工具实现线性正投影、仿射、投影、多项式、分段线性、局部加权平均配准的过程。-HWEBRWEVB RFG
youxiandanyuanyijie
- 有限单元法求解二阶偏微分方程,使用的方法是加权余量法,比一阶方程更加可靠-Finite element method for second order partial differential equations, a method using a weighted residual method is more reliable than the first-order equation
Interactive---image-segmentation
- 本文提出的超像素渐进合并算法应用了图论的基本框架:一幅图像被映 射成一个加权的无向图,其中超像素被当作图中的顶点,而相邻超像素之间通过边 相连,由超像素间的相似度计算出相应边的权值,通过排序每次合并权值最小的两 个超像素。-Shot into a weighted undirected graph, including super pixels as the vertices in the graph, and the adjacent pixels by boundary betw
Dts.359-1.Kruskal
- kruskal算法的C++源码,即求加权连通图的最小生成树的算法。-c++ source of kruskal algorithm.
Robust-Beamforming-via-Semidefinite
- 现有的向量加权稳健波束形成方法只有在指向误差较小的情况下才能有效估计目标的信号功率;矩阵加权波束形成方法在指向误差较大时,虽然可以估计目标的信号功率,但是它的系统实现复杂度与向量加权稳健波束形 成方法相比较大。针对以上问题,该文提出基于半正定秩松弛(SDR)方法的稳健波束形成,该方法优化模型中的目标函数与Capon 算法的目标函数相同,优化变量为加权向量的协方差矩阵,并约束方向图的主瓣幅度波动范围、旁瓣电平,协方差矩阵的秩为1。-The existing vector weighted ro
zhixinsuanfafangan
- 算法的改进方案,总共有10种,基于质心加权的算法改进-Algorithm improvement program, a total of 10 species, based on the weighted centroid algorithm improvements
Study-of-Hydraulic-Model-Calibration
- 本文以管网阻力系数校核、节点流量实时校核与漏损定位为主要研究内容,提出了基于经验信息的加权最小二乘管网阻力系数校核法。-In this paper, the pipe network drag coefficient checking, checking and real-time traffic node leakage positioned as the main research content is proposed based on the weighted least squares
melppaper6
- 为了提高深度模型的编码重构性能,本文为传统对比散度(Contrastive divergence,CD)添加了基于交叉熵的重构误差约束。利用改进后的算法训练了重构性深度自编码机(Reconstructive deep au-to-encoder,RDAE),并用 RDAE 替换混合激励线性预测编码(Mixed excitation linear prediction, MELP)语音编码器中 LSF 参数的矢量量化方法。测试结果表明,改进后的算法在损失一定模型似然度的条件下获得了重构性能的提升,