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Description: 主要是关于GPS卫星C/A码信号的产生、捕获以及跟踪的S曲线图，还有科斯塔斯环的一个实例。-Mainly on the GPS satellite C/A code signal generation, capture and track the S curves, there is an instance of Costas Loop.
Platform: |
Size: 5120 |
Author: qiyongqiang |
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Description: 根据韦瓦[ Weawa] 单边带调制解调法、COSTAS 锁相环及双线性变换, 提出基于软件无线电的单边带锁相解调器。解调器运行在TMS320C6203 上, 能实时处理160kHz 信号, 捕捉8kHz 频偏。-According to韦瓦[Weawa] SSB modulation and demodulation method, COSTAS PLL and the bilinear transform, based on software radio single sideband phase-locked demodulator. Demodulator running at TMS320C6203, the 160kHz signal to deal with real-time, capture 8kHz offset.
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Size: 338944 |
Author: 李松 |
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Description: 在C++平台上实现QPSK调制，加频偏过AWGN信道，然后采用COSTAS的方法进行载波恢复-In the C++ platform for a QPSK modulation, plus offset over AWGN channel, and then use the methods COSTAS carrier recovery
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Size: 517120 |
Author: wwyy |
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Description: Recovery phase with recursive Costas loop. Bpsk symbols to demodulate
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Size: 1024 |
Author: kk |
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Description: Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr-Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr
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Size: 3283968 |
Author: driftinwind |
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Description: costas环的C语言版本，需要的自己下载-C language version of the costas loop , you need to download their own
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Size: 3072 |
Author: 王晓阳 |
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Description: 是有关QPSK的c编写。包含高斯噪声等#include <iostream>
#include <fstream>
#include <cmath>
#include <ctime>
#include <cstdlib>-C is related to the preparation of QPSK. Includes Gaussian noise
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Size: 3072 |
Author: 刘宇 |
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Description: 科斯塔斯环用于载波同步，C语言代码,够不够20字啊-costas loop
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Size: 3072 |
Author: max |
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