HRV

almanak reader polar plot

ARMA模型的matlab代码，详细，有注释(ARMA model matlab code, detailed, annotated)

the attached all programs are based on error control coding for ex. LBC, Convolition, RS code etc. all programs are generalized means for any size input or any type of circuit respectively. the all programs are tested on matlab 2012

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)

有源滤波仿真，通过仿真波形看出有源滤波特性(Active filter simulation, seen through the simulation waveforms of active filter characteristics)

APF 资料 比较 总体比较资料 权威 IEEE 重要资料(Comparative information Comparative information APF overall authority IEEE important information)

摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

说明：  切比雪夫滤波器，切比雪夫I型滤波器设计，双通切比雪夫滤波(Chebyshev filter,Design of Chebyshev I filter, double pass Chebyshev filter)

超宽带无线电基础一书中产生固定周期数的正弦脉冲的程序(Ultra-wideband radio produced a book based on the number of fixed-cycle sinusoidal pulse procedure)

周期图法估计平稳随机信号功率谱的MATLAB实现 周期图法估计平稳随机信号功率谱的MATLAB实现(Periodogram method to estimate the power spectrum of the stationary random signal MATLAB implementation)