knn-dwt

车牌识别系统，一个比较实用的程序，不过移植性不是很高(License plate recognition system, a more practical procedure, but portability is not very high)

RS编解码过程,并包括进制转换和域的变换,可用于RS码仿真(RS codec process, and includes hexadecimal conversion and transform domain can be used for RS code simulation)

This package is used for exponential smoothing models

To support wireless communication : MIMO

matlab/simulink下建立风机发电传动系统模型(established fan power transmission model matlab/simulink)

此程序是在MIMO-OFDM系统中，利用角度域进行信道估计，选用DFT的插值方法进行！希望对研究角度域信道估计的人有所帮助！(This procedure is in the MIMO-OFDM system, using the angle domain channel estimation, the selection of DFT interpolation method! I hope to study angle domain channel estimation of some help!)

Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions - in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. (Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions- in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. )

可靠度的快速算法 强度分布 正态分布 应力分布 正态分布(Reliability of the fast algorithm normal intensity distribution of normal stress distribution)

这是我收藏的可以使用的灰度共生矩阵特征提取的源码，希望对大家有用(here is the code which helps to calculate the features the different GLCMs.Hope it is useful to you )

已知一个二维数据，y=f(x), 想使得这个数据绕y轴旋转而成为一个旋转对称的三维数据(A two-dimensional data is known, y=f (x), to make the data around the Y axis and become a rotationally symmetric 3D data)