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KalmFilter
卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量中,估计动态系统的状态。(Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements, the estimated dynamical systems.)
- 2010-12-27 22:50:27下载
- 积分:1
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Appendix1B_K_cross_validation
sourse code for cross validation
- 2013-09-15 19:34:45下载
- 积分:1
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je378
小波包分析提取振动信号中的特征频率,是小学期课程设计的题目,采用的是通用的平面波展开法。( Wavelet packet analysis to extract vibration signal characteristic frequency, Is the topic of the elementary school stage curriculum design, Using common plane wave expansion method.)
- 2017-03-12 11:54:56下载
- 积分:1
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efd
projet de fin d etude
- 2012-05-18 01:22:11下载
- 积分:1
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Experimental-Study-of-Rough-Surface-visible-light
Experimental Study of Rough Surface visible light scattering properties
- 2012-03-28 17:12:45下载
- 积分:1
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zhaoxiaopu
位置指令为幅值为1.0的阶跃信号,r(k)=1.0。网络结构为1-4-1,高斯函数的参数值取Cj=[-2 -1 1 2]T ,B=[0.5 0.5 0.5 0.5]T 。
网络权值学习参数为η=0.30,α=0.05 。PID控制各参数的初RBF网络控制,被控对象为G(s)=
取采样时间为1ms,采用Z变换进行离散化,离散化后的被控对象为
y(k)=-den(2)*y(k-1)-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2)
始值为,kp=20, kd=0.3, ki=0.1。
(Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)
- 2013-07-22 21:20:28下载
- 积分:1
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S_kongjingduyue
通过比较传统仅移相的波束与移相+理想延时的波束,来说明述S波段宽带阵列孔径渡越现象(To demonstrate the aperture effct of S_band windband array, this programe comparing the beam pattern of the traditional beamforming method "phase shifting only" with that of "phase shifting+ ideal delay".)
- 2013-09-26 10:45:56下载
- 积分:1
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QPSK
An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness
is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude regenerative amplification,
we show significant simultaneous suppression of both phase and amplitude noises of (D)QPSK signals under optimized
conditions. The reduction in the phase noise variance of a noise-corrupted DQPSK signal obtained by one such regenerative amplification
can be as large as 5.5 folds, showing its good potential for distributed optical regeneration of (D)QPSK signals.
2008 Elsevier B.V. All rights reserved.
- 2015-03-23 12:52:39下载
- 积分:1
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MATLAB_Comm
MATLAB通信仿真及应用实例详解(MATLAB_Comm.ceb)(Communication and application of MATLAB simulation examples explain (MATLAB_Comm.ceb))
- 2008-04-18 10:39:38下载
- 积分:1
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Computer-Vision-Using-Local-Binary-Patterns
The local binary pattern (LBP) is a simple yet very efficient operator which labels
the pixels of an image by thresholding the neighborhood of each pixel and considers
the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used
together with other image descriptors
- 2013-09-19 10:04:03下载
- 积分:1