Introduction-to-MATLAB---Sikander-M.-Mirza

实现积分图，用来方便计算Haar特征 利用matlab实现的积分图，(integral image in order for compute the Haar-like Feature.)

E.S. Gopi.Algorithm collections for digital signal processing applications using matlab. 对算法实现进行了详细介绍。(ES Gopi.Algorithm collections for digital signal processing applications using matlab. On the algorithm described in detail.)

在matlab下利用空间均值法、中值法、最大值法和最小值法实现数字图像的平滑处理(Use of space under the matlab mean, median method, the maximum and minimum method method of smoothing digital images)

说明：  matlab语言编写的差分进化算法，调试通过，内有英文说明。(matlab language of differential evolution algorithm, debugging through, with English instructions.)

methods of Intelligent Systems and Intelligent Computing, very intersting and very useful for beignners.

Digital Image Processing Using Matlab

随机共振相似度的Matlab计计算程序，计算看出输入可直接使用。 (Stochastic resonance similarity Matlab count calculation procedure, the calculation to see that the input can be used directly.)

Tsp solver with genetic algorithm for matlab

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

This is a matlab file that is simulating minimum shoft keying signals. This is a simulink file and pulse shaping is also used in it.