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C6455_emifa
Extrenal Memory Interface code for Texas Instruments TMS320C6455
- 2016-12-29 15:16:56下载
- 积分：1
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NaSch
Nasch 元胞自动机单车道模型 可以出流量-密度，流量-速度基本图(Nasch model.The CA single-lane model can give flow -density ,flow-velocity basic diagrams.)
- 2018-05-26 17:57:36下载
- 积分：1
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第1章 无线信道：传播和衰落
说明： 详解莱斯信道与瑞利衰落信道，并将其对比，画出图形，便于理解(Rician channel and Rayleigh fading channel are explained in detail and compared Draw a figure, easy to understand)
- 2021-03-21 14:06:18下载
- 积分：1
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边缘检测hough直线
用MATLAB边缘检测检测出直线，并用Hough函数连接起来。(Use MATLAB to detect straight lines and connect)
- 2021-03-19 10:49:19下载
- 积分：1
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GE
说明： 针对TI DSP C6000系列的局域网监控开发，在CCS开发环境运行。能实现局域网数据包抓包、数据包分析，特定数据包内容读取，异常数据包报警等功能。运行CCS注意配置好安装调用路径(For LAN monitoring the development of TI DSP C6000 series in CCS development environment running. Enables LAN data packet capture, packet analysis, specific packet content to read, malformed packets alarm. Run CCS note configured installation call path)
- 2015-05-12 12:25:43下载
- 积分：1
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mmWave_Channel_Model-master
使用matlab进行毫米波信道模型仿真，很棒的源码(Millimeter-wave channel model simulation using matlab, great source code)
- 2019-03-07 16:28:43下载
- 积分：1
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dspbook2
DSP控制器原理及其在运动控制系统中的应用,,做电机控制的话，很适合(Principle DSP controller and its application in motion control system, motor control to do so, it is suitable for)
- 2020-11-18 15:59:39下载
- 积分：1
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遍历求解路径数量
利用深度优先算法求解网络中两点之间的所有路径数目(Solving the Number of All Paths between Two Points in a Network Using Depth-First Algorithms)
- 2021-03-01 19:29:34下载
- 积分：1
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Matlab
LDPC校验矩阵生成、高斯消去法编码、BP译码程序，可以作为自己编写LDPC编译码程序的参考。因为matlab代码效率不高，所以这个程序仿真起来比较慢.(LDPC check matrix generation, Gaussian elimination coding, BP decoding procedure can be used as its own procedures for the preparation of LDPC codec reference. Because matlab code efficiency is not high, so this process is relatively slow simulation together.)
- 2008-05-22 23:08:39下载
- 积分：1
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av_sub
脑电（EEG）是一种反映大脑活动的生物电信号，由于它具有很高的时变敏感性，在采集时极易受到外界的干扰。如眼球运动、眨眼、心电、肌电等都会给真实的脑电信号加入噪声（伪迹）。这些噪声给脑电信号的分析处理带来了很大的困难。从剔除EEG中的各种伪迹到去除噪声的效果评估研究者们都提出了很多方法。本文提出matlab除各种脑电信号伪伪迹减法( As a kind of physiological signals, the Electroencephalogram（EEG）represents the electrical activity of the brain. Because of its higher time-vary sensitivity, EEG is susceptible to many artifacts, such as eye-movements, blinks, cardiac signals, muscle noise. These noises in recording Electroencephalogram（EEG）pose a major embarrassment for EEG interpretation and disposal. A number of methods have been proposed to overcome this problem, ranging from the rejection of various artifacts to the effect estimate of removing artifacts. )
- 2009-12-22 11:58:47下载
- 积分：1
