-
testproject3
physical layer 802.11
- 2011-08-25 02:45:18下载
- 积分：1
-
knnsearch
简单的knn算法展示，用户可以直接调用，适合大家学习交流使用(the simple knn,you can call it for your work)
- 2014-12-29 18:02:52下载
- 积分：1
-
polar_simple
简单但是很全的polar码，编码和译码matlab代码。(Simple but very wide polar code, coding and decoding matlab code.)
- 2016-08-11 17:35:31下载
- 积分：1
-
2fsk_0.5
跳频2fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(The partial band interference with frequency hopping 2fsk bit error rate, this procedure is based on matlab, and their series, Oh)
- 2011-05-14 10:19:47下载
- 积分：1
-
new_OFDM
最新的OFDM仿真以及相关算法的PDF文档，其中在知网下的(OFDM simulation and related algorithms PDF documents)
- 2011-05-30 15:52:48下载
- 积分：1
-
simplified-ELECTRE-
本论文描述了一种基于ELECTRE排序的简化方法，使多属性决策更加简便(This paper describes a simplified approach based on ELECTRE sort, easier to make multi-attribute decision)
- 2011-10-05 15:00:46下载
- 积分：1
-
four
计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF =
10¡ 6，PD = 90 假设以下条件:
(a) 信号不起伏
(b) 忽略天线波束调制
1
(c) 计算PD时忽略目标区以外噪声的影响
组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16)
求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)
- 2012-10-18 11:02:12下载
- 积分：1
-
UCA_LCMV
八阵元均匀圆阵波束赋型LCMV算法，形成三维方向图(Eight-membered uniform circular array beamforming algorithm LCMV, a three-dimensional direction in FIG.)
- 2017-03-29 21:51:09下载
- 积分：1
-
filterbank
两通道多速率滤波器的设计，实现两通道数据采样及数据恢复(Two-channel multirate filter design, implementation, two-channel data sampling and data recovery
)
- 2010-11-14 22:14:18下载
- 积分：1
-
labeling-code
Read video into MATLAB using aviread and alculate the background image . Initialization for Kalman Filtering. Calculate the difference image to extract pixels with more thanthreshold change.
and Plot the tracking rectangle after Kalman filtering
- 2013-04-25 18:38:05下载
- 积分：1
|
联系客服（QQ：3324461878）
