Matlab

Welch法谱估计和参数模型谱估计的MATLAB分析(Welch spectral estimation MATLAB analysis and parameter estimation of the model spectrum)

Using a progressive intuitive/mathematical approach, this introduction to computer vision provides necessary theory and examples for practitioners who work in fields where significant information must be extracted automatically from images-- including those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The book provides a basic (Computer Vision- Linda Shapiro.pdf)

for camera calibration

semivariogram structure function ,it is about 2D semivariogram.

该工程实现2fsk的载频估计，返回2fsk两个载频估计结果。(The project is estimated to achieve 2fsk carrier frequency, return 2fsk two carrier frequency estimation results.)

利用幂法和反幂法求解按模最小特征值，按模最大特征值。与MATLAB中eig功能相似 (get the character value of a matrix, similiar with the function eig in matlab)

网络的三相计算机潮流案例，基于MATLAB 的计算机潮流及其可视化(Three-phase current case computer networks, computer-based trend MATLAB and Visualization)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

search in list box in exe form

说明：  matlab 中很实用的源代码2：中值滤波器、用Sobel算子和拉普拉斯对图像锐化，梯度算子检测边缘(Practical source code of matlab)