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利用matlab摄像头识别EAN13一维条形码，按键时会弹出错误但不影响用(Matlab camera identification using one-dimensional bar codes EAN13, buttons will pop up with an error but does not affect)

基于稀疏分解的图像信息修复，图片展示了一被“破坏”lina图像，采用此程序可以得到较好修复(Sparse decomposition based on image information restoration, image shows a being " destroyed" lina image, the use of this procedure can get a better fix)

this file is used to change the sampling rate of the ecg signal

this project Compare Image sir please active my account to download i india

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

matlab模糊控制资料，是matlab仿真应用的东东，对模糊控制的学习很有帮助(matlab fuzzy control information is Dongdong matlab simulation applications, fuzzy control of the learning very helpful)

分别在瑞利信道和白噪声信道下bpsk误码性能对比(ray awgn bpsk NSR)

采用卡尔曼滤波器滤除语音信号中的有色噪声，采用Matlab实现，并给出了实例(Kalman filter to filter the speech signal colored noise, using Matlab to achieve, and gives an example)

说明：  经典ESPRIT算法，在等间距接受阵列的条件下，直接估计出我们想要接收信号的角度。八个接收天线，二个目标信号，噪声为高斯噪声。(Classical ESPRIT algorithm, such as spacing in the array to accept the conditions, we want to directly estimate the received signal point of view. Eight receiving antennas, two target signal and noise as Gaussian noise.)

用变形核密度模型对数据的统计分布进行估计，常用于金融信用分析、财产保险精算等领域，是一个很有效、常用的非参数模型(Deformation of the nuclear density model of the statistical distribution of the data to estimate the financial credit analysis, property insurance and actuarial fields, is a very effective and commonly used non-parametric model)