-
bianshi1
系统辨识 利用matlab进行仿真 对系统辨识(System identification using matlab simulation of system identification)
- 2012-06-07 15:02:57下载
- 积分：1
-
Logistic
混沌在加密方面的典型应用，不错的报告。。。。(Typical applications of chaos in the encryption, good report..)
- 2013-02-08 11:47:34下载
- 积分：1
-
paral_dfe_test
判决反馈滤波器的工作频率受限于电路速度，本程序通过并行信号处理，可以使其工作于任意高的频率。(The speed of DFE is limited by the timing of circuit. This program speed up the DFE by parallel signal processing.)
- 2014-09-19 18:17:51下载
- 积分：1
-
ecgdetectnew
ECG detection code in MATLAB features extraction
- 2013-10-01 17:45:55下载
- 积分：1
-
compare
联合开发网 - pudn.com
- 2012-09-28 16:08:42下载
- 积分：1
-
distance_1
點雲做三角連線，先找出一點，再找出最近兩點，並輸出成矩陣，使用三角外膜連線並畫出圖形。(Triangle nearest point connection Triangle nearest point of connection Triangle nearest point to connect the the triangle nearest point connection Triangle nearest point to connect the the triangle nearest point of connection triangle nearest point connection Triangle nearest point connection Triangle nearest point to connect the the triangle nearest point connection the triangle nearest point connection)
- 2013-01-07 18:13:12下载
- 积分：1
-
SmartANTENNA
智能天线程序,关于天线的方向图,和方向因子,增益等仿真(Smart antenna program on the antenna pattern, and direction factor, gain, etc. Simulation)
- 2013-08-16 01:41:35下载
- 积分：1
-
CLAHE
Contrast Limited AHE (CLAHE) differs from ordinary adaptive histogram equalization in its contrast limiting. This feature can also be applied to global histogram equalization, giving rise to contrast limited histogram equalization (CLHE). In the case of CLAHE, the contrast limiting procedure has to be applied for each neighbourhood from which a transformation function is derived.
- 2013-09-11 02:48:42下载
- 积分：1
-
AllOpticalNetworkspresentation
All Optical Networks presentation
- 2010-06-12 08:56:10下载
- 积分：1
-
Kmeans
k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects in the same cluster high similarity different clustering object similarity small. Cluster similarity is the use of the mean of each cluster of objects that get a " central object" (center of gravity) to perform the calculation.)
- 2014-08-14 19:04:10下载
- 积分：1
