-
FMT
this code is used to implement FMT Filter bank trancsiver in matlab. the filter coefficient can be changed also the number of subcarriers.
- 2013-12-13 19:57:18下载
- 积分:1
-
DP_1_5_SI
this is the four generator system of the Padhiyar book
the simulation is well performed for the load gvn in the K.R. Padhiyar buk.
The student those are referring this model can have this system for the study purpose.....
- 2010-01-29 21:33:25下载
- 积分:1
-
conways-life
应用MATLAB基于元胞自动机实现生命游戏的源码,(conway s life,matlab)
- 2011-05-03 16:31:20下载
- 积分:1
-
ups_user_manual
一款UPS的使用手册 让读者了解UPS的相关知识 帮助读者认识UPS(The use of a UPS UPS manual for readers to understand the relevant knowledge to help readers understand UPS)
- 2010-08-30 09:50:11下载
- 积分:1
-
NumericalAnalysisandMatlabimplementation
数值分析及其Matlab实现,包含有部分程序和课件。(Numerical Analysis and Matlab implementation, contains some of the procedures and courseware.)
- 2009-12-12 10:54:34下载
- 积分:1
-
train_redes_honn
Training process fo a second order neural network
- 2014-10-02 02:29:12下载
- 积分:1
-
SolveDALM_fast
快速对偶增广拉格朗日算法,目标函数的最优化求解,常用于逆问题的求解,是典型的L1范数算法。(Quick optimization for dual augmented Lagrangian algorithm for solving the objective function, commonly used in inverse problem solving, is typical of L1 norm algorithm.)
- 2016-02-23 09:19:34下载
- 积分:1
-
mpdecoder_v2.3
he mpdecoder project provides an MATLAB class mpdecoder that allows doing message passing (MP) decoding of binary LDPC codes. The MATLAB class mpdecoder actually calls the C++ class MPDecoder through the MATLAB MEX interface, which ensures its high decoding speed.
- 2016-11-26 23:08:51下载
- 积分:1
-
iHMM-Matlab_v0[1].5
无限状态隐马尔可夫模型(IHMM)采样与推理算法程序,可用于模式识别,视频异常事件检测等,开发平台了最新的MATLAB2009(Infinite state Hidden Markov Model (IHMM) sampling procedures and the reasoning algorithm can be used for pattern recognition, video detection of abnormal events such as the development platform, the latest MATLAB2009)
- 2010-12-15 15:46:42下载
- 积分:1
-
CodeReplicaMAP
In order to reproduce Figure 3 in the Replica Paper, do the following in order:
1. Run "Linear_test.m"
2. Run "Lasso_Optimal Regularization.m"
3. Run part 0,1 and 2 (not part 3) from "Lasso_test.m"
4. Run "Zero Norm Regularization_Optimal Regularization.m"
- 2012-10-21 18:57:48下载
- 积分:1