該程序為基于粒子濾波的一種新算法,綜合MCMC Bayesian Model Selection即MONTE CARLO馬爾克夫鏈的算法,用來實現目標跟蹤,多目標跟蹤,及視頻目標跟蹤及定位等,解決非線性問題的能力比卡爾曼濾波,EKF,UKF好多了,是我珍藏的好東西,現拿出來與大家共享,舍不得孩子套不著狼,希望大家相互支持,共同促進.
There is an example of how to use the LDPC encode/decode with AWGN
channel model in files .\ldpc_decode.m and .\GFq\ldpc_decode.m.
There are a few parity check matrices available in the code but
you can use other matrices provided you have enough memory to load
them. I suggest checking out matrices in Alist format available on
David MacKay s web site.You will need to have access to a MEX compiler
to be able to use a few functions written in C.
LDPC的仿真代碼
The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is the extension of correlation loadings to uncentered and multi-way models
