Underwater data communication system s synchronization signal processing 水声数据传输系统中的同步信号处理
Two new speech detection methods based on neural networks using barker coded synchronization signal are presented 提出了两种采用巴克码编码同步信号并基于神经网络的起点检测新方法。
In this issue the different schemes mentioned above will be analyzed and the results are described by synchronization signal distribution intuitively 通过分析,比较了两种不同同步机制的不同性能,并用同步分布的方式对结果进行了直观的表达。
It is conceived to introduce barker codes as synchronization preamble and add synchronization signal in front of speech signal to implement speech detection . the principle of this idea is presented 提出了引入barker码作为同步码,在语音信号前添加同步信号以实现起点检测的工作设想,并介绍了其同步原理。
The system employs multicarrier modulation ( mcm ) technique as the modulation method , and linear frequency modulation ( lfm ) signal as the synchronization signal and digital signal processor ( dsp ) as the hardware ' s core chip 该系统选用多载波调制技术进行调制,选用线性调频信号为其同步信号,选择数字信号处理器为硬件核心芯片。