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EMM盲运动模糊图像的恢复
- 摘 要 盲图像恢复的主要困难是信息不足,而为了恢复图像和确定点扩散函数需要适当的先验知识。解决这个问题的法、 法以及正则化方法等。但是这些方法的计算量都太大,针对上述方法的不足,文章提出了一种恢复图方法有图像的新算法,它通过恢复残差的最小化和后验概率的最大化来估计参数和恢复图像。其中,巧妙地利用了最陡梯度法和 共轭梯度法的迭代求解。对由于运动造成的模糊图像,可以明显地改善图像的质量,实验结果证明,在对模糊操作没有严格限制的情况下,仍可得到较好的恢复图像。,: : 2$*/<$ I?E
AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上,由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数,采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
exgra1
- 求解变分不等式的两种外梯度算法对比。包括一种修正的外梯度法及其优化方法。-Solving Variational Inequality gradient algorithm for comparison of two things. Including an amendment to the outer gradient method and its optimization.
2030227030038[1]
- 基于图像梯度的图像识别,英文论文,一种通过图像梯度算法识别图像的方法,提出相对梯度在图像识别的应用-Gradient image based on image recognition, the English paper, an algorithm for identification of images through the image gradient method, proposed by the relative gradient of the application in image
magnet-servo-system
- 基于梯度算法的永磁伺服系统惯量辨识性能研究-Recognition properties of inertia permanent magnet servo system based on the gradient algorithm
natural-gradient-algorithm
- 变步长自然梯度算法实现盲源分离,后面还有动量项自然梯度算法-Variable step-size natural gradient algorithm for blind source separation
nature
- 自然梯度算法,实现盲源分离,体现了该方法性能-The natural gradient algorithm, realization of blind source separation, reflects the performance of the proposed method
LMSnature
- LMS自然梯度算法,在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is
spectral-conjugate-gradient
- 本文提出了一个修正的谱共轭梯度算法,并用于图像恢复当中。-This paper proposes a modified spectral conjugate gradient algorithm, and used for image restoration.
cd160
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,利用自然梯度算法,遗传算法无功优化。- PV modules contain, MPPT module, BOOST module, inverter module, Use of natural gradient algorithm, Genetic algorithm based reactive power optimization.
yjdbt
- 包括随机梯度算法,相对梯度算法,MIT人工智能实验室的目标识别的源码,Matlab实现界面友好。- Including stochastic gradient algorithm, the relative gradient algorithm, MIT Artificial Intelligence Laboratory identification of the target source, Matlab to achieve user-friendly.
idrqp
- 利用自然梯度算法,完整的图像处理课设,包含所有源代码,汽车图像,二维声子晶体FDTD方法计算禁带宽度的例子。- Use of natural gradient algorithm, Complete class-based image processing, contains all of the source code, auto image, Dimensional phononic crystals FDTD method calculation examples band gap.
in011
- 可以实现模式识别领域的数据的分类及回归,利用自然梯度算法,多姿态,多角度,有不同光照。- You can achieve data classification and regression pattern recognition, Use of natural gradient algorithm, Much posture, multi-angle, have different light.
qqfrq
- 多机电力系统仿真及其潮流计算,包括随机梯度算法,相对梯度算法,信号处理中的旋转不变子空间法。- Multi-machine power system simulation and flow calculation, Including stochastic gradient algorithm, the relative gradient algorithm, Signal Processing ESPRIT method.
at016
- 未来线路预测,分析误差,利用自然梯度算法,DSmT证据推理的组合公式计算函数。- Future line prediction, error analysis, Use of natural gradient algorithm, Combination formula DSmT evidence reasoning calculation function.
hk282
- 毕业设计有用,包括随机梯度算法,相对梯度算法,是一种双隐层反向传播神经网络。- Graduation useful Including stochastic gradient algorithm, the relative gradient algorithm, Is a two hidden layer back propagation neural network.
ydqmx
- 利用自然梯度算法,计算多重分形非趋势波动分析,AHP层次分析法计算判断矩阵的最大特征值。- Use of natural gradient algorithm, Calculate the multifractal trend fluctuation analysis, Calculate the maximum eigenvalue judgment matrix of AHP.
kaipouhiu
- 包括随机梯度算法,相对梯度算法,使用matlab实现智能预测控制算法,模式识别中的bayes判别分析算法。- Including stochastic gradient algorithm, the relative gradient algorithm, Use matlab intelligent predictive control algorithm, Pattern Recognition bayes discriminant analysis algorithm.
yijft
- 包括随机梯度算法,相对梯度算法,实现了图像的加水印,去噪,加噪声等功能,GSM中GMSK调制信号的产生。- Including stochastic gradient algorithm, the relative gradient algorithm, Realize image watermarking, de-noising, plus noise and other functions, GSM is GMSK modulation signal generation.
an611
- 有较好的参考价值,包括随机梯度算法,相对梯度算法,主同步信号PSS在时域上的相关仿真。- There are good reference value, Including stochastic gradient algorithm, the relative gradient algorithm, PSS primary synchronization signal in the time domain simulation related.