bpclassfy

关于小波包去噪和小波去噪的matlab程序，对理解小波和小波包两种算法很有帮助。(On wavelet packet denoising and wavelet denoising matlab program for understanding the two algorithms of wavelet and wavelet packet helpful.)

Matlab/Simulink model of asynchronous machine

采用功率谱方式并用AR线性滤波方法生成脉动风速时程数据，能用于结构风载荷的计算。(Using power spectrum and AR linear filtering method to generate fluctuating wind speed time series data, can be used in structure wind load calculation.)

Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.

romp matlab code ortho match pursuit

Sparco is a suite of problems for testing and benchmarking algorithms for sparse signal reconstruction. It is also an environment for creating new test problems, and a suite of standard linear operators is provided from which new problems can be assembled. Sparco is implemented entirely in Matlab and is self contained. (A few optional test problems are based on the CurveLab toolbox, which can be installed separately.)

matlab编程：遗传算法求解最大值 matlab编程：遗传算法求解最大值(matlab Programming: Genetic Algorithm for Max matlab Programming: Genetic Algorithm for Maximum)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

ufldl，working with large images 作业，完整代码，运行结果与提示一致(ufldl, working with large images operations, the complete code, operating results consistent with the prompt)

根据给定的每15min预测一次的负荷数据，利用灰色预测GM（1,1）理论进行预测，并分别预测一周内周末和工作日的负荷变化情况，最终形成负荷变化曲线(According to the given load once every 15min forecast data, the gray prediction GM (1,1) theory to predict, and are predicted load changes within a week on weekends and weekdays, eventually forming the load curve)