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modulate_identify
- 基于小波变换的调制识别方法.里面包含如下内容：QAM、PSK、FSK、AM和OFDM信号源生成程序，基于小波变换的QAM、PSK和FSK信号分类算法的程序，利用小波变换区分OFDM信号与数字单载波信号的算法程序，利用OFDM信号自相关特性分类OFDM信号与模拟信号的算法的程序。
ask
- 自己编程产生一种二进制调制信号，为数字调制信号的识别做准备。-Their programming to produce a binary modulation signal, the recognition of digital modulation signals in preparation.
psk
- 自己编程产生一种二进制频率调制信号，为数字调制信号的识别做准备。- programming to produce a binary frequency modulation signal, the recognition of digital modulation signals in preparation.
fsk
- 自己编程产生一种二进制频率调制信号，为数字调制信号的识别做准备。- programming to produce a binary frequency modulation signal, the recognition of digital modulation signals in preparation.
4psk
- 自己编程产生一种四进制相位调制信号，为数字调制信号的识别做准备。-programming to produce a quaternary phase modulation signal, the recognition of digital modulation signals in preparation.
hao
- 基于神经网络的数字信号调制方式自动识别，其过程全面系统。-Based on neural network of digital signal a way to identify the process, and comprehensive system.
fie-V8.1
- gmcalab 快速广义的形态分量分析，进行波形数据分析,基于人工神经网络的常用数字信号调制。- gmcalab fast generalized form component analysis, Waveform data analysis, The commonly used digital signal modulation based on artificial neural network.
rgjis
- 基于人工神经网络的常用数字信号调制，基于分段非线性权重值的Pso算法，分数阶傅里叶变换计算方面。- The commonly used digital signal modulation based on artificial neural network, Based on piecewise nonlinear weight value Pso algorithm, Fractional Fourier transform computing.
istny
- 采用波束成形技术的BER计算，连续相位调制信号(CPM)产生，基于人工神经网络的常用数字信号调制。- By applying the beam forming technology of BER Continuous phase modulation signal (CPM) to produce, The commonly used digital signal modulation based on artificial neural network.
cmupb
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，基于人工神经网络的常用数字信号调制，重要参数的提取。- It contains CV, CA, Single, current, constant turn rate, turning model, The commonly used digital signal modulation based on artificial neural network, Extract important parameters.
jeipou_v30
- 能量熵的计算，遗传算法无功优化，基于人工神经网络的常用数字信号调制。- Energy entropy calculation, Genetic algorithm based reactive power optimization, The commonly used digital signal modulation based on artificial neural network.