-
qpsk_berest
用MATLAB语言描述的关于QPSK的无线通信系统仿真应用，如何产生QPSK信号(MATLAB language to describe the use of QPSK wireless communication system simulation applications, how to generate QPSK signal)
- 2009-04-27 09:06:07下载
- 积分：1
-
pocket_crf_0.47.tar
Pocket CRF is a toolbox for Conditional Random Fields
- 2011-01-05 22:02:25下载
- 积分：1
-
K-Mean1
编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)(prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2))
- 2020-11-12 16:39:43下载
- 积分：1
-
three_phase_motor_speed_frequence
永磁同步电机 三相电机矢量控制 (permang magnet motor)
- 2013-08-24 10:57:30下载
- 积分：1
-
odesr
简单的随机共振模型在MATLAB环境中的应用(Simple stochastic resonance model in MATLAB environment)
- 2013-03-20 19:54:51下载
- 积分：1
-
last
最优化缓存分配。系统模型是基站和用户，通过优化用户端缓存分配，使得基站容量最大(Optimizing cache allocation. System model is a base station and the user, by optimizing cache allocation client, making the maximum capacity of base station)
- 2016-01-15 05:40:23下载
- 积分：1
-
matlabbook
MATLAB基础及应用 第2版电子教案
基础性非常好，适合新手。(MATLAB Fundamentals and Applications 2nd edition electronic teaching a very good foundation for novice.)
- 2010-02-02 11:53:55下载
- 积分：1
-
ACF_and_CCF_of_Gold_Sequence
计算golden sequence的自相关，ACF_of_PN_Sequence(ACF_of_PN_Sequence)
- 2009-07-06 21:38:10下载
- 积分：1
-
gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
)
- 2012-02-02 20:40:46下载
- 积分：1
-
matlab
matlab求解雷诺方程，适用于二维问题的工程分析(matlab simulation)
- 2021-04-06 19:19:02下载
- 积分：1
