cognitive-modeling-strategy-retreat

4个电机调速的matlab仿真模型 希望有所帮助(4 motor matlab simulation model of the hope that help)

捷联惯导算法、四元数算法姿态解算、误差补偿及仿真分析，matlab仿真程序(Attitude calculation of strapdown inertial navigation system algorithm based on Matlab)

matlab主要工具箱函数以及详细注解等等。(matlab toolbox function main, and detailed notes and so on.)

its a simulation of a PV panel of 200 W. based on mathematical equations simulated in sim powersystems of matlab.

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

潮流算法，研究生作业。挺好用的，已经试过了。哈哈(Flow algorithm, graduate job. Very good use, has been tried. Haha)

matlab的各种mdl源代码，经典例题(example for matlab)

画包络谱和幅值谱的matlab程序 希望对大家有用(Painted envelope spectrum and amplitude spectrum matlab program)

图像去噪算法进行回顾，以崭新 之一。寻找有效的图像去噪方法仍然是一个有效的挑战，在 功能分析和统计数据的交叉(A REVIEW OF IMAGE DENOISING ALGORITHMS, WITH A NEW ONE.The search for efficient image denoising methods still is a valid challenge, at the crossing of functional analysis and statistics)

Downhill Simplex Method