Reconaissance-voyelle

说明：  神经网络设计的英文版教材，主要讲解各种神经网络的设计方法 (Neural network design of English teaching materials)

扩频通信系统仿真 ——系统将基带信号（即信息）的频谱扩展至很宽的频带上，然后再进行传输，即将欲传输的信息数据用伪随机序列编码调制，实现频谱扩展，然后通过信道编码发送出去；接收端采用与发送端完全相同的伪随机序列作为本地解扩信号进行相关处理，以恢复信息，最后进行解调，完成整个系统的接收。(Simulation of spread spectrum communication system- the system baseband signal (ie, information) be extended to a wide spectrum of frequency bands, and then transferred, will want to use transmitted information data sequence of pseudo-random code modulation, to achieve expansion of the spectrum, and then sent channel coding receiver and transmitter use the same pseudo-random sequence as related to the local despreading signal processing, in order to restore the information, the final demodulation, the receiver to complete the system.)

优化神经网络预测，可以用于多种预测需求，需更改(Optimization of neural network prediction)

简单的模糊自适应鲁棒滑模控制程序，结合了模糊控制，鲁棒控制和滑模控制的优点(Simple fuzzy adaptive robust sliding mode control program, combined with fuzzy control, robust control and the advantages of sliding mode control)

MATLAB是很常用的软件，本文件 相当于介绍该软件的入门电子书， 可以让初学者快速学会使用该软件。(err)

说明：  自适应作业 具有很高的学习的价值 其中包括RLS和LMS(adaptive operations with a high learning value including RLS and LMS)

在MATLAB里面搭建的风力发电模型，通过控制模拟风力发电(Power system three-machine nine-node model, simulation based on module construction, simulink)

说明：  针对NL-Mreans算法运算时间较长的问题，提出了优化，大大缩短了时间。(To solve the problem of long operation time of NL-Means algorithm, an optimization method is proposed, which greatly shortens the time.)

说明：  神经网络与免疫算法的结合，用matlab编程实现一些小功能(Neural network with a combination of immune algorithm with matlab programming to achieve some small features)

High accuracy optical flow using a theory for warping(The files optical_flow_brox.m and optical_flow_sand.m are the files you need to run. optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are read, with your image, and start the process. optical_flow_sand.m implements a variant presented in CVPR 2006. Again just replace the lines "img1 = imread( ... )" and "img2 = imread( ... )" with your images and the rest is automatic. The variable num_levels controls the number of images in the laplacian pyramid to be constructed. Change it to suit your convenience.)