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用MATLAB实现带状矩阵A的LU分解，参数为A的主对角线元素组成的列向量(A MATLAB implementation by the LU decomposition of banded matrix, the parameters for the A' s main diagonal elements of the column vector)

使用matlab完成harris corner检测，探测出边界点(Use matlab completed harris corner detection, detection of boundary points)

This package is performing the K-medoids clustering algorithm on any data.

自适应中值滤波程序，对于大部分图片都能使用。(Adaptive median filtering procedures, can be used for most of the pictures.)

搭建simulink仿真框图，使用sisotool工具箱对对象传递函数进行PID参数整定。由上面所得到的PID控制器中PD部分的控制经验可获取模糊控制器的控制规则，设计Mamdany型模糊控制器和T-S型模糊控制器。 (Build a simulink simulation diagram, use sisotool toolbox object transfer function PID parameter tuning. PD control experience PID controller portion obtained by the above control rules can get fuzzy controller design Mamdany TS fuzzy controller and fuzzy controller.)

说明：  压缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)，稀疏采样(Sparse sampling)，压缩传感 [1] 。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号 [1] 。压缩感知理论一经提出，就引起学术界和工业界的广泛关注。(Compressed sensing (Compressed sensing), also known as compression sampling (Compressive from), Sparse sampling (Sparse from), Compressed sensing [1].As a new sampling theory, it develops the sparse characteristics of signals, obtains the discrete samples of signals with random sampling under the condition that the sampling rate is much lower than Nyquist sampling, and then perfectly reconstructs the signals through the nonlinear reconstruction algorithm [1].Once the theory of compressed sensing was put forward, it attracted extensive attention from academia and industry.)

说明：  一本关于wimax经典外文书籍。适合于从事wiamx学习和研究的工程技术人员。(Wimax classic book on foreign books. Wiamx for study and research in engineering and technical personnel.)

说明：  交通流仿真，元胞自动机的NS模型源码，能用，嘿嘿，欢迎交通(Traffic flow simulation, cellular automaton model of the NS source code, can, hey, welcome to traffic)

Audio compression and recording

说明：  文档中有3个程序。h.264灰度处理程序，DCT变换程序，DCT系数量化程序。(There are three programs in the document. The h.264 gray handler, and DCT transform process, the DCT coefficient quantization process.)