ljung---system-identification-vocabulary

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

optical ray simulation code in matlab for system design

说明：  用matalab模拟退火算法解决 10 个城市的 TSP 问题，程序详细、实用，很适合初学者。(Using simulated annealing algorithm to solve matalab 10 cities TSP problem, the program detailed, practical, very suitable for beginners.)

基于dictionary learning的MR图像重建的代码，希望对从事MR图像重建的朋友有用，使用matlab开的的代码～～(dictionary learning for MR image construction)

实现光场相机功能仿真，输入图像，完成对图像的光场处理(Realizing the function simulation of light field camera)

从网格划分软件Gambit读取2维网格的Matlab程序，来自《节点间断迦辽金方法》一书(Matlab program read from the meshing software Gambit two-dimensional grid, from the node discontinuous Galerkin method, " a book)

船舶电力系统matlab/simulink仿真模型，发电机原动机模块(Marine Power System matlab/simulink simulation model generator prime mover module)

车牌字符分割Matlab程序，可以实现车牌的字符分割(License plate character segmentation Matlab program, you can achieve the license plate character segmentation)

说明：  经典的PSO粒子群优化算法，用于解决无约束优化问题(Classic PSO particle swarm optimization algorithm for solving unconstrained optimization problems)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)