Modulation recognition is also an important research of the paper.
调制识别也是本文的一个重要研究点。
This paper proposed a modulation recognition algorithm for M-QAM signals.
提出了一种M - QAM信号的识别算法。
The modulation recognition technology for communication signals based on BP neural networks is studied.
本文研究了基于BP神经网络的通信信号调制体制识别技术。
The modulation recognition technique of QAM signal by the constellation diagram is given in this paper.
给出了利用信号星座图的QAM信号调制方式识别技术。
The early modulation recognition methods are operated artificially with the aid of kinds of instruments.
早期的调制识别方法都是借助各种仪器人工完成的。
Experiment result shows that these technologies have better performances for automatic modulation recognition of communication signals.
实验结果表明，该技术拥有较好的通信信号调制体制识别性能。
The research contents mainly consist of symbol rate estimation, carrier frequency offset estimation, modulation recognition and blind demodulation.
研究内容主要包括：符号率估计、载波频偏估计、调制方式识别以及盲解调等。
A new digital modulation recognition method based on instantaneous information is proposed for the application under the low signal-to-noise ratio (SNR).
针对数字调制识别在低信噪比下的应用，提出一种新的基于瞬时信息的调制识别算法。
Automatic modulation recognition and modulation parameters estimation are key problems in non-cooperative communication systems and Software Defined Radio.
通信信号调制方式的自动识别和调制参数的自动估计是非协作通信和软件无线电中的重要问题。
The experiment results justify the high recognition rate with less samples, thus the method can be used in the digital signal modulation recognition system.
实验结果表明，该调制识别方法在小样本下具有较高的识别率，可以应用在数字信号的调制识别系统中。
Modulation Recognition of Communication Signals is an important part in electronic counter measures; it also is a rapidly evolving area of signal analysis.
信号的调制方式识别对于电子对抗和频谱监测都具有极其重要的意义。
Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory.
该算法从变换域提取全部特征参数，采用决策理论算法，实现调制类型的自动识别。
This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.
提出了一种在线进行调制识别的系统模型，并给出一种基于神经网络的快速收敛分类器算法。
In recent years, interest from the academic and military research institutes has focused around the research and development of modulation recognition algorithms.
近年来，许多学术和军事研究机构都将兴趣集中在调制识别算法的研究和开发上。
Based on the characteristic extracting of RF signal in digital cable TV system, this paper puts forward an algorithm for modulation recognition between 16qam and 64qam RF signals.
从有线数字电视射频信号特征参数提取着手，建立了一套识别16QAM和64 QAM射频信号调制方式的数学算法。
Modulation recognition methods presented for single signal case are not valid for multiple signals' case, including decision theory based and statistic pattern recognition based methods.
已有的调制识别方法，包括基于决策理论的方法和基于统计模式识别的方法，绝大多数都是针对单信号提出的，不能直接用于多信号的识别。
Recognition of the modulation type of an unknown signal provides insight into its structure, origin and properties.
通过对未知信号调制模式的识别能让我们洞察未知信号的结构、起源以及信号的属性。
In this research, based on statistical pattern recognition method, we use constellation of modulated signals to classify modulation modes both in non-cooperative and cooperative communications.
本文采用基于统计模式识别的方法，研究了非合作通信与合作通信中通过提取调制信号的星座图特征对调制模式进行识别的问题。
The recognition method for analogue modulations has less computational complexity, and the method for digital modulation has flexibility and can be easily extended to the coming modulation types.
本文的模拟调制识别算法具有运算量小的特点，而数字调制识别算法具有较好的扩展性。
At the end of the essay we validate the whole system platform with the recognition of modulation and cord rate.
最后通过调制方式及码速率识别算法对系统平台硬件实现进行了验证。
This papers proposes a test and recognition method of genetic BP neural network on common digital modulation modes in RFID standard.
本文对RFID标准中常用的数字调制方式提出了一种基于遗传BP神经网络的测试识别方法。
The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.
通信信号调制类型的分类识别是一种典型的模式识别问题，它涉及到很多复杂的因素。
Achieve canonical correlation analysis, Part of the license plate recognition locator feature, NRZ type differential phase modulation signal modeling and simulation analysis.
实现典型相关分析，车牌识别定位程序的部分功能，非归零型差分相位调制信号建模与仿真分析。
Experiments reveal that there are neural feasibility and superior performance in application of network method in signals modulation -recognition field.
实验表明，用神经网络的方法进行通信信号的调制识别具有实际可行性和优越的性能。
Experiments reveal that there are neural feasibility and superior performance in application of network method in signals modulation -recognition field.
实验表明，用神经网络的方法进行通信信号的调制识别具有实际可行性和优越的性能。
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