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3
说明: 用双音频输入重新仿真,实现频谱扩展功能,产生滤波后高斯过程功率谱密度和相关高斯序列时域值(Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence)
- 2011-07-16 23:15:51下载
- 积分:1
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P2_12
this code optimize the parameter of PID controller
- 2013-08-15 00:17:32下载
- 积分:1
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NK30
神经网络算法30例,里面是完整的,主要包含神经网络算法和聚类、灰色等。(30 cases of neural network algorithm, the inside is complete, mainly includes neural network algorithm and clustering, grey, etc.)
- 2015-01-14 22:18:12下载
- 积分:1
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ARMA-model-order-determination
一篇介绍ARMA时间序列模型定阶方法的文章,供大家参考。(a paper about order determination method for ARMA time series model .)
- 2012-05-08 21:10:43下载
- 积分:1
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vblast_est
The main file in this list of programs is "vblast.m"
- 2011-06-21 23:50:27下载
- 积分:1
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data_mining_2
Dear members this are new IEEE papers 2013 based on cloud computing, networking, security, wireless sensor networks.
- 2014-10-02 13:33:16下载
- 积分:1
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MATLAB人体行为异常识别
说明: 本文设计了一款人体行为异常监控系统,主要适用人群是老年人,在摄像头固定的情况下,自动检测人体运动轨迹,并与提前设定好的行为库进行匹配,分析判断是否具有异常行为。
在数字图像预处理部分采用了图像二值化,腐蚀与膨胀等几种方法为人体目标的跟踪和检测做准备。为了克服在实际操作中遇到的问题,采用了帧差法和ViBe算法,帧差法即利用帧间变化与当前帧、背景算法来判断它是否大于阈值,并分析视频中序列的运动特性,ViBe算法则是一种背景建模的方法,背景模型是由邻域像素来创建,并对比背景模型、当前输入像素值检测出前景,确定视频中的目标跟踪。在人体行为识别中,运动目标最小长宽比以及连续帧间的加速度来判断人体行为是否异常,如果检测到异常的行为比如说摔倒、快跑等行为,在识别的过程这种实时监测。不同环境可能需要调试,要求有一定编程基础,小白慎入。(In this paper, a monitoring system for abnormal human behavior is designed, which is mainly applicable to the elderly. When the camera is fixed, it can automatically detect the human motion track and match with the behavior database set in advance to analyze and judge whether there is abnormal behavior.)
- 2020-08-07 12:36:40下载
- 积分:1
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LMS_rev2
Least mean squares algorithm for smart antenna
- 2010-05-25 09:36:51下载
- 积分:1
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Joint_Detection1
TD-SCDMA中联合检测技术中的Matlab仿真算法,包括DMF算法,ZF-BLE算法,MMSE算法等(Joint detection in TD-SCDMA technology in the Matlab simulation algorithms, including DMF algorithm, ZF-BLE algorithm, MMSE algorithm)
- 2010-08-06 09:41:45下载
- 积分:1
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mulal
This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects
are re-created. This may cause problems with any callbacks written to
depend on the value of the handle at the time the object was saved.(This is the machine-generated representa tion of a Handle Graphics object and its childre n. Note that handle values may change when these objects are re-created. This may cause problem s with any callbacks written to depend on the val ue of the handle at the time the object was saved.)
- 2007-01-31 10:57:44下载
- 积分:1