-
Untitled2
非协作方式下在高斯信道下的MATLAB仿真包括误码率(Non-collaborative approach in the Gaussian channel under the MATLAB simulation, including bit error rate)
- 2008-05-30 22:14:07下载
- 积分：1
-
reedsolomon
matlab reedsolomon code
- 2011-05-15 05:17:51下载
- 积分：1
-
PMSMtorque
永磁电机的矢量控制，在此基础上包含了负载转矩观测器(the load torque observer for PMSM)
- 2021-04-21 10:28:49下载
- 积分：1
-
matlab
this is very good iris recognition code iris segmentation
- 2010-10-30 13:24:21下载
- 积分：1
-
loadflow
power flow for 9 bus system
- 2013-01-16 14:25:36下载
- 积分：1
-
ida-efitools
Some IDA scripts and tools to assist with reverse engineering EFI executables.
- 2015-01-27 00:16:47下载
- 积分：1
-
paiduiwenti
通信网中离散时间多重休假排队问题分析的matlab程序，完整的毕设程序，可以运行(Communication network in the discrete-time multiple vacation queuing problem analysis matlab program, complete the Bi-based program, you can run)
- 2012-11-08 16:03:53下载
- 积分：1
-
M-sequence-signal
M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)
- 2009-11-28 14:25:56下载
- 积分：1
-
MATLAB-learning
极力推荐，PKU-Matlab课程的学习的PPT，很适合初学者。(Highly recommended, PKU-Matlab courses of study on the PPT, it is suitable for beginners.)
- 2012-01-06 20:11:13下载
- 积分：1
-
bayes
采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。(The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probability density is estimated under the assumption that the establishment of Bayes minimum error rate classifier, the decision-making rules have been written, the classifier is applied to training/test samples to study the training/testing error conditions.)
- 2009-04-21 21:34:24下载
- 积分：1
