Gaussian程序

在IT领域，尤其是在数据处理和模拟中，"高斯噪声"是一个常见的概念。高斯噪声，也称为正态分布噪声，是由随机变量生成的一种噪声，其分布遵循高斯分布，即著名的钟形曲线。这种噪声在许多实际问题中都有应用，如

A phase singularity of the light field created by interference of two Gaussian singular beams which

Three-dimensional focusing properties of Gaussian-dependence superresolving filter

Modeling of Gaussian Network-Based Reconfigurable Network-on-Chip Designs

Nonlinear Inverse Reinforcement Learning with Mutual Information and Gaussian Process

In the non-Gaussian clutter modeled as independent and identically distributed spherically invariant

高斯过程（Gaussian Processes，简称GP）是一种统计模型，常用于机器学习中的回归分析。在高斯过程中，每一个函数都是一个可能的解，而所有这些解构成的集合服从高斯分布。优点在于它能够提供概

Most state-of-the-art techniques for multi-class image segmentation and labeling use conditional ran

A good paper for reference

The refraction and reflection of Gaussian beam on two-dimensional photonic crystal (2DPC) slab are s