5第五章 数值计算.本章教授你如何使用MATLAB的数值计算功能。...

在matlab环境下，用最邻近数据关联算法实现目标跟踪。(the Matlab environment, using the most neighboring data association algorithm to achieve the target track.)

This paper gives comperision of different channel estimation techniques that can be used in OFDM

对模糊图像进行复原（代码中样例）后，进行ISNR值的计算。由于复原后图像和原图像可能存在对齐问题，而该对齐问题不影响复原结果的主观效果，因此该代码首次考虑这一问题并给出相应的图像对齐及ISNR计算方法。(Restoration of blurred images (sample code), the calculation ISNR values. Due to possible alignment problems and the restored image after the original image, and the alignment problem does not affect the results of the subjective effects of recovery, so the code for the first time to consider this issue and the corresponding image alignment and ISNR calculation.)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)

对连续反应搅拌器进行一些列的仿真 比如找取平衡点等等(Simulation of continuous reaction stirrer some columns, such as fetch equilibrium point)

说明：  OMP algorithm to implement compressive sensing algorithms

说明：  evaluation of the binary grating

包括64QAM,16QAM,8QAM,4QAM,高斯白噪声(involved 64QAM,16QAM,8QAM,4QAM,under gngauss channel)

Face recognition is still a challenging task due to the different problems such as pose, illumination, expression and occlusions. Due to these problems, it needs an extensive research. Various face recognition techniques exists but they suffer one or the other limitations.

This codes for Nonnegative Matrix Factorization Using ADMM