7.3.1

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，学习非常值得(The interface graphics with input and output functions designed by GUI of MATLAB have strong visibility and worth learning.)

一种基于轮廓的步态识别文献，思路清晰便于实现(Based on the outline of gait recognition literature, to facilitate the achievement of clear thinking)

本书是国内第一本全面介绍OpenCV的中文版图书，本书可作为信息、图像处理和模式识别等领域的高年级本科生、研究生使用，也可作为研发人员的参考手册。(This book is the first comprehensive introduction to OpenCV s Chinese version of the book, this book can be used as information, image processing and pattern recognition in areas such as advanced undergraduates, graduate students, but also as a reference manual for researchers.)

该文章包含了计算机视觉方面的论文及代码，如目标追踪、目标检测、人脸识别、机器学习、分割等(this document contains several papers and codes,such as object tracking、object detection、face recognition and so on)

说明：  行星齿轮动力学分析微分方程的matlab中ode45求解(The solution of the differential equation of planetary gear dynamic analysis by ode45 in MATLAB)

给出已有图片中小球的个数。（图中有很多很多个）(Picture has been given the number of small balls. (Chart There are many, many months))

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

图像经过双随机处理和分数阶傅里叶变换，可以达到加密解密的功能，且对密钥敏感性较强。(The image undergoes double random processing and fractional Fourier transform, which can achieve the function of encryption and decryption, and has strong sensitivity to the key.)

图形图象综合应用—图象的方块压缩编码，主要用于帮助图形图象的初学者学习(Comprehensive application of graphics images- images of box compression coding, the main graphical image used to help beginners learn)