dnewton_raphsoncc

数字信号处理课程,1.信号采样及编程环境；2.信号、系统及频响,用于学生上机练习。(Digital signal processing courses, 1. Signal sampling and programming environment 2. Signals, systems and frequency response for the students to practice on the machine.)

说明：  讲述了凸优化的基本理论，包括定义，模型，鲁棒特性以及对信号重构的指导等。(Describes the basic theory of convex optimization, including definitions, models, robust features and guidance on the signal reconstruction.)

这套算法包涵详细的注解 可直接在软件上进行仿真！(The algorithm bear with detailed notes Directly in the software simulation! )

代码运用BP网络作为解决方案，主要对给定的数据进行仿真和预测(Code using BP network as a solution, the main simulation and projections for the given data )

MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and infection-free. In addition to that, it enjoys the authentication concealment and is never forgotten. Therefore, authentication based on face recognition will become the mainstream of future development. It has important and extensive application in various fields, and is also a hot topic at present biological characteristics identification technology research. Under the non-restrictive condition, the face recognition rate is not high, and its accuracy needs to be further improved. In this paper, the following aspects is analyzed)

国外最新的关于MATLAB编程方面的书籍，很不错的。(good book.)

说明：  matlab .M函数库，自己整理的，我用的很好，朋友们能参考一下(matlab. M library, his finishing, I use the good friends who can refer to)

image enhancement matlab code ,can improve the picture quality ,especially for the image with low quality .(image enhancement Matlab code, can improve the picture quality. especially for the image with low quality.)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

说明：  4个纹理分割算法合集+n篇IEEE论文合集 对研究纹理分割的同学来说，很有效(4+ n texture segmentation algorithm Collection collection of research papers IEEE paper texture segmentation students, it is very effective)