MATLAB

用C++编写一个可创建MAT文件的独立应用程序。程序说明了：1.可创建MAT文件的独立应用程序的编写步骤；2.相应C++源程序的基本格式；3.相应mx-函数和C指令的配合应用。4.MAT库函数matClose, matGetArray, matOpen, matPutArray, matPutArrayAsGlobal的使用方法。(With C++ Prepared a document to create an independent MAT applications. An explanation of the procedures: 1. Can create MAT documents prepared by an independent application steps 2. Corresponding C++ Source of the basic format 3. Corresponding mx-function and C with the application instructions. 4.MAT library function matClose, matGetArray, matOpen, matPutArray, matPutArrayAsGlobal use.)

EEG event related Oscillations

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.

some samples to learn matlab

说明动态规划中维数灾问题,仿真结果非常完整(the dimension disaster of dynamic programming)

解决IR-UWB通信系统信号捕获和同步。该方法基于导频序列。接收机使用与导频脉冲序列相匹配的相关滤波器。(To solve the IR-UWB communication system signal acquisition and synchronization. The method is based on the pilot sequence. The receiver uses correlation filter pulse sequence matching with the pilot.)

说明：  清华大学《matlab 控制系统应用与实例》第一部分M文件的源码(Tsinghua University &quot matlab control system applications and examples of&quot documents the first part of the source M)

混沌时间序列 基于人工神经网络的一步或多步预测(Chaotic time series based on artificial neural network or multi-step prediction step)

说明：  MATLAB命令大全 MATLAB help 的中文(MATLAB command Daquan MATLAB help the Chinese)

试验模态参数的频域识别方法__正交多项式法模态参数识别(Experimental modal parameters identification method in frequency domain orthogonal polynomials __ modal parameter identification method)