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Group-based-IDS-for-WSN
- 该文提出了一种轻量、高效、灵活的分组入侵检测方案。在该方案中, 整个传感器网络被划分成若干物理位置临近、具有相似观测结果的分组, 组内各传感器节点同时观测其它节点的多个属性, 以便精确地检测各种攻击行为。-This paper proposes a lightweight, efficient and flexible packet intrusion detection scheme. In this embodiment, the entire sensor network is divid
KLMAN
- Kalman滤波子程序,利用线性系统状态方程,通过系统输入输出观测数据,对系统状态进行最优估计-Kalman filter subrountine
multi_iter_average
- 多次迭代滑动平均算法,是选一矩形窗口,在平面上逐点滑动,计算窗口内所有点的平均值及观测值与此平均值之差-Multiple iterative moving average algorithm is to a rectangular window, sliding on the plane point by point, calculate the average value of all the points in the window and the difference between t
MVDR_DBF
- capon波束形成器,也称MVDR波束形成器。 它试图使噪声以及来自非θ方向的任何干扰所贡献的功率为最小,但又能保持在观测方向θ上的信号功率不变-capon beam form
xinhao
- 设计通过N次观测进行判决的贝叶斯检验,计算门限在最佳门限附近变化平均代价。-Bayesian test for design decisions by N observations, calculate the optimal threshold in the threshold change in the average cost in the vicinity.
optical-flow-navigation
- 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在
ladregression2
- 根据最小一乘准则在含有粗差的观测值中解求最小一乘解,有利于剔除粗差-Minimum algorithm
keshawenjian
- 平面观测文件为标准的ASCⅡ码文件,可以使用任何文本编辑器建立编辑和修改。-The flat view file is a standard ASC code file that can be edited and modified using any text editor.
Untitled90
- 计算信号信噪比和其相关的误差。一维信号BP重构算法-生成稀疏度为K的稀疏信号-添加高斯白噪声进行信号的观测-BP算法的重构-重建质量衡量-Calculate the Signal Signal to Noise Ratio, Correlation Error. Advanced One-Dimensional Signal BP Algorithm Reconstruction- Generate Sparse Signal with Sparse Degree K- Add Gaussian
Compressive_sensing
- 傅立叶变换矩阵对信号进行稀疏表示,用高斯随即观测矩阵观测,重构方法为征缴匹配追踪算法、压缩感知入门程序,经典之作- U5085 u7An2F3 u53D3 u53A2 u7R09 u09R0 U9635 u89C2 u6D4B uFF0C u91CD u678 u6B1 u6CD5 u4E3A u5F81 u7F34 u5339 u914D u8E U5E8F uFF0C u7ECF u5178 u4E4B u4F5C
compressing
- 应用傅立叶变换矩阵对信号进行稀疏,经高斯随机观测矩阵观测,经正交匹配追踪算法重构.压缩感知入门程序-The Fourier transform matrix is used to spill the signal. Observed by Gaussian random observation matrix and reconstructed by orthogonal matching tracing algorithm. Compression Sensing Getting Started
parallel_battery_SC_boost_converter
- 简易的蓄电池与超级电容混合储能系统。可以观测SOC值变换,电压电流变化等-A simple battery and super capacitor hybrid energy storage system, can achieve SOC monitoring, voltage and current monitoring, contrast.
卡尔曼滤波算法
- 卡尔曼滤波(Kalman filtering)一种利用线性系统状态方程,通过系统输入输出观测数据,对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响,所以最优估计也可看作是滤波过程。
noiqe
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
uhat
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
ReadGNSSO
- 利用Matlab 读取GPS卫星观测文件程序代码- U5229 u758M3 u7B0B u5B3
zcvpp12
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
asxzee
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
EM算法
- 在统计计算中,最大期望(EM)算法是在概率(probabilistic)模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量(Latent Variable)。最大期望经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。(In statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximu
primaryfrequencyregulation
- 连接一起的下半部分是传统一次调频系数的仿真,参数如算例所示,上半部分是其改进一次调频系数后的仿真,最后由示波器观测波形的不同。(The lower half of the connection is the simulation of the traditional primary frequency modulation coefficient. The parameters are shown in the example. The first half is the simulation