irisdata

有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)

自适应的MIMO-OFDM matlab源码(Adaptive MIMO-OFDM matlab source)

顺序函数法求解一维非稳态导热反问题的源代码(Sequential function method for solving one-dimensional unsteady heat conduction inverse problem of the source code)

This piece of code can be used to import text file data of the signature samples, and pre-process them.

机器学习 curse of dimensionality(Machine learning curse of dimensionality)

code for simulating extended kalman filter

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

说明：  audio Task 2 by me and friends

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

使用k均值算法对多个数据集进行分类，已测试通过，简单易懂(classification to many datasets using k-means algorithm ,simple and easy-understanding.)