SystemEquations

将指纹图像分为好、中、差三类，然后根据典型的质量指标在各类质量中的影响度来设定相关的权重，以此可以更准确的表示图像质量，提高指纹识别的后续处理的准确性，系统的稳定性(Fingerprint image is divided into good, normal and poor, and then the typical quality indicators in the quality of the impact of various degrees to set the associated weight, this can be a more accurate representation of image quality and follow-up to deal with fingerprint recognition accuracy, system stability)

JKM model for MatLab

bhmie function relative refractive index

Gaussian Mixture Utilities

《MATLAB程序设计教程》一书的随书源代码("MATLAB Programming Guide," a book of the source code along with book)

这个代码是用matlab编程实现产生一个复指数序列、方波序列、单位阶跃序列单位冲击等几个序列(This code is to use matlab programs have a complex index series, square wave sequences, unit step representation unit and so on several series sequence impact )

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

calculate ccdf of papr of ofdm

matlab 一维小波变换，可以得到垂直、水平、对角线的对比图。(matlab one-dimensional wavelet transform, can be vertical, horizontal, diagonal comparison chart.)

相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。(DeconvNet well written and easy to understand compared to relatively simple. But the original code to the data inside can not seem to run. Fortunately, there are some code with the author uses TCNN, such action recognition, can be downloaded along down the reference. This code is the main feature tiled structure that can be used for reference, and then put inside the ICA optimization functions into RICA, Sparse Coding and so on. In short, this code can also learn a lot (such as line search, etc.).)