基于双隐含层BP神经网络的预测

老外写的小波变换的工具箱，基于MATLAB环境；压缩包内有详细的说明和相关Demo，参考价值较高。(Written by foreigners Wavelet Toolbox, MATLAB-based environment compressed packet has detailed instructions and Demo, a high reference value.)

digital image processing

该程序为LTE中3GPP协议的PUSCH信道的物理资源映射程序，可进行物理层链路的资源映射部分(The program is a physical resource mapping program for the PUSCH channel of the 3GPP protocol in LTE, and the resource mapping part of the physical layer link)

simulink electrical machine(2)

小波神经网络模型，采用粒子群算法优化，包含单输入、多输入(Wavelet neural network model, using particle swarm optimization, including single-input, multiple-input)

说明：  matlab边界自动跟踪程序，该程序可以直接运行，涉及边界判别准则和搜索准则。图像要求为二值图像，可输出为边界的点的坐标和轮廓图像。(matlab boundary automatic tracking program can be run directly involving border criteria and search criteria. Image requirements for binary images can be output for the coordinates of border points and the outline of the image.)

用于计算二维稳态热传导方程的隐式算法程序(Two-dimensional steady-state heat conduction equation implicit algorithm procedures)

雷达信号分选仿真数据产生程序以及信号分选的PRI变换算法仿真程序(Radar signal sorting simulation data generation process and the PRI transform signal sorting algorithm simulation program)

介绍了DAB 接收机中的OFDM 同步算法，重点对OFDM 接收机方案中基于保护间隔的符号定时估计、频 率偏移估计进行了分析，提出了适用于Eureka147DAB 系统的同步算法；并对各种算法进行了计算机仿真，本文介绍的算法满 足DAB 接收机的要求，有很大的应用价值。(Introduced the DAB the OFDM receiver synchronization algorithms, focusing on OFDM receiver scheme based on the protection of the interval estimation, frequency symbol timing Rate migration estimates are analyzed and some appropriate Eureka147DAB system in the synchronization algorithms And kinds of the computer simulation algorithm, this paper introduces the algorithm of the full The requirements of the foot DAB receiver, a large application value. )

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)