提出了一种基于非局部扩散的去除乘性噪声的模型。
A model for the removal of multiplicative noises was proposed based on the non-local diffusion method.
但其在既有加性噪声 ，又有乘性噪声时校正效果难以令人满意。
With strong noise, the performance of the artificial neural network correction is limited.
本文主要针对带乘性噪声系统的多传感器最优滤波融合估计算法作进一步研究。
The optimal filtering fusion algorithms for systems with multiplicative noises under multi-sensor observation are mainly researched in this dissertation.
当激光场中含有乘性噪声时，乘性噪声能增强基波的涨落，同时抑制二次谐波的涨落。
However, the multiplicative noise can enhance the fluctuation of fundamental light, meanwhile it can reduce the fluctuation of the second harmonic light.
针对存在斑纹和湍流这两类乘性噪声的激光雷达系统，讨论了对数回波功率的估计问题。
The problem of estimating the log return power in a lidar system in the presence of multiplicative noise (speckle and turbulence noise) is discussed.
针对多通道观测环境下带乘性噪声系统的最优滤波问题，提出了1种状态最优滤波的分部算法。
A partitioned optimal filtering algorithm for multi-channel systems with multiplicative noise among observation channels is proposed.
该算法不同于有偏的去除乘性噪声的同态滤波算法，而是将噪声转化为局部平稳的加性白噪声。
Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator, this algorithm translates speckle into locally stationary additive white noise.
运用绝热近似理论，研究了由加性噪声和乘性噪声及周期信号驱动的光学双稳系统的随机共振现象。
The stochastic resonance(SR)in an optical bistable system under the simultaneous action of multiplicative and additive noises and periodic signal is studied using the adiabatic approximation theory.
针对多尺度带乘性噪声系统，在多尺度最优滤波融合的基础上，进行状态最优固定域平滑算法的研究。
Based on multiscale optimal filtering fusion, an optimal state fixed-interval smoothing algorithm is developed for systems with multiplicative noise.
最后，通过具体的数值实验同已有的去噪模型进行比较，证明该模型能有效地去除图像中的乘性噪声。
Finally, some numerical examples are given to show that the new model can remove effectively the multiplicative noise of images by comparing the new model with a known model.
本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
另外，在SAR图像统计特征的基础上，进行SAR图像的乘性噪声模拟，可以满足更逼真的SAR场景需求。
Besides, speckle simulation is discussed based on SAR image statistical characteristics in order to obtain more realistic SAR image.
利用二维循环统计量方法对二维平稳乘性噪声与二维平稳加性噪声共存情况下的二维谐波的自耦合问题作了分析。
The problem of two dimensional nonlinear self coupled harmonics in multiplicative noise and additive noise is analyzed by two dimensional cyclic statistics.
本文从一个由加性噪声和乘性噪声驱动的朗之万方程出发，研究了欠阻尼动力学系统涨落势垒作用下的扩散性质。
We apply a Langevin model by imposing additive and multiplicative noises to study thermally activated diffusion over a fluctuating barrier in underdamped dynamics.
定性和定量分析的结果表明该技术能够有效滤除条纹图中的加性噪声和乘性噪声，并且不会导致高密度区域的条纹模糊。
The qualitative and quantitative analysis shows that this technique can filter off the additive and multiplicative noise of the fringe patterns effectively, and avoid blurring high-density fringe.
摘要：本文从一个由加性噪声和乘性噪声驱动的朗之万方程出发，研究了欠阻尼动力学系统涨落势垒作用下的扩散性质。
Abstract: We apply a Langevin model by imposing additive and multiplicative noises to study thermally activated diffusion over a fluctuating barrier in underdamped dynamics.
研究了乘性色噪声和加性白噪声之间的耦合为色噪声时虫口模型的动力学行为。
The dynamical property of a logistic growth model is investigated when the colored coupling between multiplicative colored noise and additive white noise included.
根据噪声背景的不同，谐波恢复可以分为加性噪声背景和乘性混合噪声背景下的谐波恢复。
The harmonic retrieval is classified according to the different noise background, in additive noises and multiplicative additive noises.
本文从循环平衡的观点出发来研究乘性和加性噪声中的谐波恢复问题。
The harmonics retrieval in multiplicative and additive noise is studied from the view point of cyclostatiolnary processes.
为了克服多重相关性对模型的干扰，引入了能辨别系统信息与噪声的偏最小二乘回归，并编制了程序。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a program is compiled.
推导一维周期势中在关联加性和乘性白噪声驱动下运动粒子迁移率公式。
We derive a formula of mobility about particles driven by correlated white noises in certain case.
为了克服多重相关性对模型的干扰，本文引入了能辨别系统信息与噪声的偏最小二乘回归，并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.
研究了由乘性和加性噪声的线性组合作为调制噪声的线性系统的随机共振。
The technique of orthogonal narrowband noise modulation is based upon the classical formula of narrowband random signal.
研究了由乘性和加性噪声的线性组合作为调制噪声的线性系统的随机共振。
The technique of orthogonal narrowband noise modulation is based upon the classical formula of narrowband random signal.
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