MATLAB-SIMULINK

matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Matlab Bias and the general threshold soft threshold image denoising method MATLAB program, hope to help everyone, for your reference only, hope to be useful.)

高噪声环境下的麦克风阵列VAD算法研究,介绍了VAD算法在多声道环境中的检测效果(High noise environments VAD algorithm for microphone array research, introduce the VAD algorithm in multi-channel environment detection effect)

正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This function also returns in the vector ind the indexes of the best r regressors (i.e., the best columns of A to use). If r is equal to n, the solution x given by OLS is the same as the solution given by A, but in ind we still have the regressors sorted by their importance. This means that one can perform a feature selection by taking the first k entries in ind (k<r).)

说明：  利用matlab开发的mri图像分析工具包(the toolbox for MRI analysis with matlab)

QPSK Modulation and Demodulation with AWGN , Performance comparision against on BER / EB/NO ratio.

mitigation of sags and swells

用于求取一段时间信号序列的求取自相关函数、功率谱密度(Obtaining autocorrelation function for obtaining a period of a signal sequence, power spectral density)

ceemdan，改进的eemd程序,里面有ceemdan的程序，也有心电数据，和一个应用程序。(Ceemdan, an improved EEMD program)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

代码实现了对刀具图像的预处理。并且有完整的word文档进行讲解(image preprocessing.)