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基于rgb颜色模型和差分运动目标检测的视频火焰检测(Based on RGB color model and the differential motion target detection of video flame detection)

beamlab的工具箱，学习matlab的朋友可以下载去学习学习！(Toolbox beamlab, learning matlab friends can download to learn to learn!)

QAM调制的MATLAB仿真程序，是深入理解调制解调的一个很好的例子。(QAM modulation MATLAB simulation program, an in-depth understanding of modulation and demodulation of a good example.)

基于蚁群算法的机器人路径规划MATLAB源码(Ant colony algorithm based on MATLAB source code for robot path planning)

matlab 详细说明书，学习matlab的好帮手，包括内容，常用函数，语音信号分析，进阶的绘图功能 频道滤波 等(Matlab detailed brochures, learning Matlab's helping hands, including the contents of commonly used functions, Voice Signal Analysis, advanced mapping functions such as channel filtering)

matlab、 ga程序包 matlba 工具包 (matlab, ga package matlba Kit)

Advanced Programming in MATLAB

A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum) can occur. Hopfield networks also provide a model for understanding human memory.

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.

matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)