BLS-GSM_Denoising

本程序是基2的时间抽取FFT变换，可以将信号从时域转换到频域。(This procedure is the base 2 time extraction FFT transform, can transform the signal from time domain to frequency domain.)

说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)

shearlet变换，能够实现图像融合的代码，里面有例子和说明(Shearlet transform, to achieve image fusion code, which has examples and instructions)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

首次适应算法First Fit： 从空闲分区表的第一个表目起查找该表,把最先能够满足要求的空闲区分配给作业,这种方法目()

利用视频三帧视频的差值，识别运动物体。视频操作为AVi格式(The moving object is recognized by the difference between the two frames of video)

说明：  求解在一个三角形上的任何一点，到另外一点的距离最小的一个点。(solution in a triangle on any point to another point of the smallest distance between a point.)

采用片条理论进行机翼的颤振分析，匹配点和非匹配点分析(Carried out using strip theory wing flutter analysis, matching and non-matching point analysis points)

FPGA实现二维傅里叶变换，语言用的是VHDL,有仿真文件(FPGA to achieve two-dimensional Fourier transform, the language used is VHDL, there are simulation files.)