MRC

多尺度数学心态学边缘检测算法，焊好的参考陈旭啊我自己编的(Multiscale edge detection algorithm learning mathematics attitude, a good reference welding Chen Xu, ah my own series of)

实现mimo-ofdm系统的交织功能，可供参考(Implement the mixed function of mimo- ofdm system, available for reference)

研究表明，构成K一L变换矩阵的向量也就是ToePhtz矩阵的特征向量。与此同时，离散 余弦变换矩阵逼近于ToePutz矩阵的特征向量矩阵，所以离散余弦变换矩阵与自然图像的 K一L变换矩阵十分相似。经过离散余弦变换后的变换系数块的协方差矩阵Cy非常接近对角 阵，即除了对角线元素以外，其它很多元素都近似为0，并且在左上角集中了主要能量。这 反映了自然图像大部分区域变化不大，亮度突变只占少数，即图像能量以低频成分为主的特 性。通过变换后的量化，舍弃对视觉效果影响较小的次要信息，可达到进一步的压缩效果。 虽然从去相关性能的意义上讲，DCT是一种次于K一L变换的准最佳变换，但是从算法实现的角度来看，DCT则远远优于K一L变换。首先，当图像的分块大小确定后，DCT的变换矩阵也就随之确定了，不随输入信号的统计特性变化而变化 其次，二维DCT能够分解成两次一维DCT，有利于硬件实现。 (Studies have shown that constitute a K L transformation matrix vector is ToePhtz eigenvector of the matrix. At the same time, discrete The cosine transform matrix approximation in ToePutz matrix eigenvector matrix, so the discrete cosine transform matrix and natural images Is very similar to a K L transformation matrix. After discrete cosine transform, the transform coefficient block of Cy is very close to the diagonal of covariance matrix Matrix, namely except diagonal elements, many other elements are approximate to 0, and focused the main energy in the upper left corner. this Reflects the natural images most area changed little, brightness mutations accounted for only a few, the energy is given priority to with low frequency components of image Sex. Through quantitative after transformation, abandoning smaller effect on the visual performance of secondary information, can achieve further compression effect. Although from related to the performance of the sense, DCT is a kind o)

图像盒维数的。。。。。。。。。。。。计算方法(Box dimension. . . . . . . . . . . . Calculation method)

说明：  MATLAB R2016a完全自学一本通.part1 详细说明请参见part3(MATLAB R2016a Self-taught Book (with its own catalogue))

关于近来很火的灰色预测理论的matlab的源代码，移植性好，与诸位学友共同分享，共同进步(About the grey prediction theory recently very fire matlab source code, good portability, xueyou with share, make progress together)

选取了民歌，古筝，摇滚和流行不同音乐，用神经网络对其进行有效分类。(Different from folk songs, guzheng, rock and pop music, using neural network to classification effectively.)

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)

本资料包包含了系统的matlab建模用算法(This pack contains the system matlab modeling algorithm used)

利用神经网络自校订、自学习功能在线整定PID(using neural network self-editing, self-learning function online tuning PID)