搜索资源列表
cml-manual2.0
- gauss 极大释然估计，可以用来估计各种参数的实际值，而且非常准确-gauss greatly relieved estimates can be used to estimate the parameters of the actual value, but very accurate
global1
- ieee上有关全局运动估计的相当不错的文章，对于研究这方面的朋友有很大的帮助-ieee movement on the overall estimate of a fairly good article, For this purpose friends will be very helpful
global_estimation2
- ieee上有关全局运动估计的相当不错的文章，对于研究这方面的朋友有很大的帮助-ieee movement on the overall estimate of a fairly good article, For this purpose friends will be very helpful
global_estimation3
- ieee上有关全局运动估计的相当不错的文章，对于研究这方面的朋友有很大的帮助-ieee movement on the overall estimate of a fairly good article, For this purpose friends will be very helpful
(21)
- Web technology is not evolving in comfortable and incremental steps, but i s turbulent, erratic, and often rather uncomfortable. It is estimated that the Internet, arguably the most important part of the new technological environment, has expanded by
介绍眼图的文章，通俗易懂
- 介绍眼图的文章，通俗易懂，研究USB,SATA你不可不知道的知识。繁体中文， 估计台湾人写的。,Introduced the eye diagram of the articles, user-friendly, research USB, SATA, you can not do not know the knowledge. Traditional Chinese, Taiwanese written estimate.
OnOutliersCycleSlipsandAmbiquity
- 用实测数据对Gipsy算法的效率进行评估,在Gipsy算法中加进小波方法,用来估计模糊度,计算表明,可极大地提高Gipsy算法的效率。 -Gipsy using measured data on the efficiency of algorithms to assess, in the Gipsy algorithm into the wavelet method, used to estimate the ambiguity, the calculation shows that can
Estimation_of_multiple_scattering_by_iterative_inv
- 多次波的逆散射问题是一个相对难的工程问题。这是2个多次波逆散射的迭代估计的经典文献，大家共享-Multiple wave inverse scattering problem is a relatively difficult engineering problems. This is a two-wave inverse scattering of multiple iterative estimate of classic literature, U.S. share
kalmanexpri
- The Kalman filter is a set of mathematical equations that provides an efficient computational [recursive] means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspe
3
- 摘要:为了提高图像复原算法的性能 ,提出了一种改进的奇异值分解法估计图像的点扩散函数。从图像的退化离散模型 出发 ,对图像进行逐层分块奇异值分解 ,并自动选取奇异值重组阶数以减少噪声对估计的影响。利用理想图像奇异值向 量平均能谱指数模型 ,估计点扩散函数奇异值向量的频谱 ,再反傅里叶变换得到其时域结果。实验结果表明 ,该方法能 在不同信噪比情况下估计成像系统的点扩散函数 ,估计结果比原有估计方法有所提高 ,有望为图像复原算法的预处理提 供一种有效的手段。-Abstract : T
Filterbankbasedblindsignaseparationwithestimatedso
- 采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound localization together. Filter
z3
- 3 摘 要:研究了具有深度运动模糊效果的图像的复原算法.采用对运动模糊图像的傅里叶频谱进行 Radon 变换来估计运动模糊方向 ,在此方向上计算运动模糊图像的自相关来估计运动模糊长度 ,再 以运动模糊方向和运动模糊长度为参量结合超分辨力图像复原处理算法对比较严重的运动模糊图像进行复原.结果表明 ,该综合性算法能够较为精确地估算出运动模糊图像的模糊参量并取得较好的复原效果.-3 Abstract: The effect of motion blur with the depth of
param_estimation
- it is estimate parameter
TrackingUsingMotionEstimation
- This article gives a method to estimate the motion of objects between two imges using block matching
A-kernel-density-estimate-data
- 一篇核密度估计资料，一种新的核函数选择方法-A kernel density estimate data，A new kernel selection method
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
On-the-Role-of-Estimate-and-Forward-With-Time
- In this paper, we focus on the general relay channel. We investigate the application of the estimate-and-forward (EAF) relaying scheme to different scenarios. Specifically, we study assignments of the auxiliary random variable that always satis
estimate
- Estaditid Datos estimate
the-maximum-likelihood-estimate
- 1、 极大似然估计 尝试用0~24阶多项式拟合，并用5折交叉验证选择最佳模型（多项式阶数及其系数，给出类似课件中的图），并画出最佳模型的拟合效果图（类似图1，蓝色点为训练样本、红色点为测试样本、绿色线为模型预测），给出该模型的测试误差。 2、 岭回归 多项式阶数为24，正则系数λ的取值范围为exp(-19)到exp(20)，采用并用5折交叉验证选择最佳模型。实验结果要求同1。 -1, the maximum likelihood estimate of 0 to 24 try-o
AOA-estimate
- 使用SCOP和OMP算法估计AOA，进而得到信道参数，信道得以准确估计-Use SCOP and OMP algorithm to estimate AOA, and then get the channel parameters, to accurately estimate the channel