PBGBand

自己编写的一个正弦函数频谱的估计，利用FFT函数实现，有详细注释，方便理解，附带仿真图一张(A sine function spectrum estimate their preparation, the use of FFT function implementation, detailed notes, easy to understand, with a simulation map)

lbm 开源软件 palabos 教程 可以尽快上手进行计算(calculated lbm open source software palabos tutorial can be started as soon as possible)

最小二乘法和支持向量回归机相结合无线传感网络节点定位的源码.(The source of The least squares and support vector regression combining wireless sensor network node positioning . )

运用矩阵摄动法求解结构的复模态参数与动力特性等(Application of Matrix Perturbation Method for Solving Complex Modal Parameters and other dynamic characteristics of the structure)

Lasso算法源代码,stanford开发的,绝对可靠(Glmnet for Matlab- Lasso (L1) and elastic-net regularized generalized linear models)

说明：  分维反映了复杂形体占有空间的有效性，它是复杂形体不规则性的量度。它与动力系统的混沌理论交叉结合，相辅相成。它承认世界的局部可能在一定条件下或过程中，在某一方面（形态，结构，信息，功能，时间，能量等）表现出与整体的相似性，它承认空间维数的变化既可以是离散的也可以是连续的，进而拓展了视野。(Fractal dimension reflects the validity of space occupied by complex bodies, which is a measure of irregularity of complex bodies. It combines with chaos theory of dynamic system and complements each other. It recognizes that the part of the world may be similar to the whole in certain conditions or processes (form, structure, information, function, time, energy, etc.). It recognizes that the change of spatial dimension can be discrete or continuous, thus expanding the horizon.)

许多图像问题需要某种物体的检测，其中图像之间的物体的外观有自然的变化。 如人脸识别，病变检测，神经通道分割。 这些图像问题可以通过手动注释图像对象来解决，以训练识别正常物体外观的模型。 这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")

完成前台阶问题的计算，利用的AUSMPW格式，算法结构较为简单，所以文字说明较少(Completed on the front steps of the calculation, use of AUSMPW format, the algorithm structure is relatively simple, so less text)

手机平台上使用的计算器源码,QT编码，简易计算器(Calculator for moilephone，base in QT)

说明：  短时傅里叶变换及短时傅里叶反变换的实现，简单可用(The realization of short-time Fourier transform and short-time Fourier inverse transform is simple and available)