完整可用的求出二分图匹配前N个最优解的算法源程序

Median Cut Algorithm,RGB,image,algorithm,quantization,color,red,blue,green,multimedia processing,

模拟退火算法程序原码以及算法程序，是用MATLAB编辑好的m文件(Simulated annealing algorithm program source code and algorithm program is a good m file in MATLAB Editor)

matlab_Concise tutorial examples希望对大家有所帮助(matlab_Concise tutorial examples)

机器人遗传算法静态摩擦参数辨识及摩擦力矩估计(Robot genetic algorithm identification )

说明：  压缩包内含有灰度变换，直方图均衡算法以及自适应直方图均衡算法，用于图像融合前处理环节，可用于图像增强，突出细节特征，可使用(The compression package contains gray-scale transformation, histogram equalization algorithm and adaptive histogram equalization algorithm, which can be used in the pre-processing of image fusion, image enhancement, highlighting the details, and can be used for image fusion.)

说明：  matlab均值粒子群算法源程序，个人编写，得到满意的结果，老师说不错(Mean particle swarm algorithm matlab source code, personal preparation, with satisfactory results, the teacher is quite good)

MATLAB 精通实例代码源代码,包括了大量matlab实例源码(matlab )

The noises are one of the research topic in image processing. In digital images removal of gaussian noises using bilateral filter is performd in this file

mppt算法用于太阳能最大功率点的跟踪，感觉不错(mppt algorithm for tracking the maximum power point, I feel good)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)