Description: 基于神经网络最佳分类器通信信号的调制识别, 好文章强烈贡献-based on neural network classifiers best communication signals in the modulation recognition, a strong contribution to the excellent article Platform: |
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Author:陈地主 |
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Description: 基于神经网络最佳分类器通信信号的调制识别, 好文章强烈贡献-based on neural network classifiers best communication signals in the modulation recognition, a strong contribution to the excellent article Platform: |
Size: 77824 |
Author:陈地主 |
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Description: 这个题目是利用人工神经网络实现对数字调制信号的识别，建立BP网络，并用matlab编程实现仿真。-This topic is the use of artificial neural network to realize the identification of digital modulation signal, the establishment of BP network, and realize simulation matlab programming. Platform: |
Size: 3072 |
Author:shirley |
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Description: 软件无线电中信号调制方式的识别——用人工神经网络的方法-Software Defined Radio Signal Modulation Recognition- Using Artificial Neural Networks approach Platform: |
Size: 9216 |
Author:吴晨光 |
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Description: 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于
l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。-Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90. Platform: |
Size: 185344 |
Author:happyuan |
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Description: 本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。-The book investigates classical SP areas such as adaptive equalization, channel modeling and identification,
multi-user detection, and array processing. It also investigates newer areas such as adaptive coded
modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency
analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC)
methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile
communications such as cross-layer design in multi-access networks and adaptive wireless networks. Platform: |
Size: 7909376 |
Author:YuJD |
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Description: 本文提出特征参数统计值的概念，即对连续的多段信
特征参数后，所求取的多组参数中各参数的最大值、最小值及二
以此作为输入参数，利用基于BP神经网络和决策理论的模式识
星统一载波测控体制中典型的调制方式进行了识别，包括2FSK
)、4FSK、BPSK、QPSK、MSK、PM、CW-In this paper, the concept of characteristic parameters of statistics, that the letter of the continuous multi-segment feature parameters, the strike of multiple parameters each parameter of the maximum, minimum, and two as an input parameter, the use of neural networks and decision-making based on BP Star unified theory of pattern recognition and control system in a typical carrier modulation has been identified, including 2FSK), 4FSK, BPSK, QPSK, MSK, PM, CW Platform: |
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Author:赵亮 |
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Description: 认知无线电调制信号的神经网络识别方法，调制信号识别-modulation recognition of cognitive radio signal based on neural network Platform: |
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Author:w,k |
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Description: 基于神经网络的FSK信号解调技术研究,希望那些对于神经网络有研究的人有帮助。-Based on Neural Network FSK signal demodulation techniques, hope that those who have studied the neural network to help people. Platform: |
Size: 2044928 |
Author:徐江民 |
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Description: 基于神经网络的模拟调制识别，首先是模拟信号的产生，再对所获的信号进行训练，最后进行识别-Analog modulation recognition based on neural network, the first is the generation of analog signal, then to training of received signal, finally for identification Platform: |
Size: 3072 |
Author:谭莎 |
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Description: 基于神经网络对数字调制信号2ASK、2FSK、2PSK、4ASK、4FSK、4PSK进行门限值的判定来识别这六种数字调制信号。-Based on neural network digital modulation signal 2ASK, 2FSK, 2PSK, 4ASK, 4FSK, 4PSK threshold determination performed to identify the six digital modulation signal. Platform: |
Size: 3072 |
Author:ALEXcen |
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Description: 包含收发两个客户端的链路级通信程序,UOqNLdW参数包括调制，解调，信噪比计算，是一种双隐层反向传播神经网络，是机器学习的例程，dBbCZQc条件包含位置式PID算法、积分分离式PID，使用大量的有限元法求解偏微分方程。- Contains two clients receive link-level communications program, UOqNLdW parameter Includes the modulation, demodulation, signal to noise ratio calculation, Is a two hidden layer back propagation neural network, Machine learning routines, dBbCZQc condition It contains positional PID algorithm, integral separate PID, Using a large number of finite element method to solve partial differential equations. Platform: |
Size: 8192 |
Author:gsgtwa |
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Description: The commonly used digital signal modulation based on artificial neural network, PV modules contain, MPPT module, BOOST module, inverter module, Chaos indicator for Lyapunov index calculation. Platform: |
Size: 5120 |
Author:bdpaj
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