cnn_tutorial

数字信号处理－理论、算法与实现 一书中所涉及到的绝大部分算法。 Dsp_c C语言编写的算法程序。 Dsp_fortran FORTRAN语言编写的算法程序。 Dsp_matlab用MATLAB编写的信号处理程序，包含本书各个章节的 大部分例题。(" Digital Signal Processing- Theory, Algorithm and Implementation of a book related to most of the algorithm. The DSP_C C language algorithm. Dsp_fortran FORTRAN language written algorithm. Dsp_matlab prepared using MATLAB signal processing procedures, including most of the examples of the various chapters of the book.)

数字图像处理各种工具箱函数，超级无敌强大(Digital image processing toolbox functions, invincible super powerful)

matlab实例 很多是例子适用于新手练习和调试程序。(matlab examples of many examples of practice applicable to novice and debug procedures.)

利用该源码程序可在归一化频率轴上绘出归一化的功率谱曲线。(Use of the source program can be in the normalized frequency axis mapping normalized power spectral curve.)

TE多模态数据，可用于多模态过程监控，检验算法(TE multimodal data can be used for multimodal process monitoring and verification algorithm)

基于稀疏变量的欠定盲源分离，可以解决源数大于传感器数的问题，即欠定盲源分离问题。(Based on the sparse variable underdetermined blind source separation, can solve the source number is greater than the number of sensors the problems, i.e. underdetermined blind source separation.)

系统辨识与自适应控制课程的实例，里面有十几个程序值得大家借鉴(Examples of system identification and adaptive control of the curriculum, a dozen programs refer to the reference inside)

he modeling equation of this system is MD2X+bDX+kX = F The transfer function between the displacement X(s) and the input F(s) then becomes X(s) / F(s) = 1 / (Ms2 + bs +k)

RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。(RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。 RD algorithm is the most important processing algorithm in processing SAR, in the far field approximation, the two-dimensional separation into two one-dimensional processing, reduces the amount of computation, good imaging effect. )

说明：  对信号进行频域特征提取，先通过傅里叶变换得到信号频谱，再计算频谱特征，包括重心频率，均方频率和频率方差(Firstly, the frequency spectrum of the signal is obtained by Fourier transform, and then the spectrum characteristics, including center of gravity frequency, mean square frequency and frequency variance, are calculated.)