NLvibration

matlab_基于象素的图像配准程序 matlab_基于象素的图像配准程序(matlab_ pixel-based image registration procedures matlab_ pixel-based image registration procedures)

用遗传算法优化BP神经网络的源程序代码 很好很强大(The source code of the BP neural network using genetic algorithm optimization is a very powerful)

gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的(gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page)

特征提取算法 一篇经典的英文文献 介绍了一种新的算法 模式识别(Feature extraction algorithm，a classic English literature describes a new algorithm for pattern recognition)

matlab实现矩形脉冲和根升余弦脉冲的QPSK调制功率谱密度及不同信噪比信道下的星座图，直接运行main函数即可(Plot the power density spectrum of the transmitted signal (e.g., with the matlab function psd) with different pulse shapes. How is it affected if a root raised cosine pulse is chosen instead of a rectangular pulse shape? Study the signal constellation in the receiver for various values of Eb/N0 for the AWGN channel. )

基于脉冲响应不变法巴特沃斯滤波器的设计 通过仿真出图像，从而进行分析(failed to translate)

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and
1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.

这是matlab关于 mimo通信仿真代码(matlab mimo simulator)

Demonstrate rs decoding in frequency domain