针对软件无线电(SDR)技术中的多频段信号带通均匀采样技术，提出了一种能够高效、准确地求解最小采样频率的方法。
An efficient method is presented to find the minimum valid sampling frequency for bandpass sampling of multiband signals in software defined radio (SDR) technology.
该方法从理论上可能的最小采样频率出发，根据采样后频谱不发生混叠的3种约束条件来确定可变的频率步长，搜索可用的最小频率。
The method starts with the theoretically minimum frequency and searches for the minimum valid sampling frequency using variable step sizes subject to three non-aliasing constraints.
实验应用了基于最小二乘法的数字滤波技术、多通道采样技术、变频率采样技术。
Digital filtering technique based on least square method multichannel sampling technique and frequency variation sampling technique were used experimentally.
实验应用了基于最小二乘法的数字滤波技术、多通道采样技术、变频率采样技术。
Digital filtering technique based on least square method, multichannel sampling technique and frequency variation sampling technique were used experimentally.
本文分析了采样钟频率偏移对MIMO-OFDM系统接收信号的影响，提出了一种适用于MIMO-OFDM系统的采样钟频率偏移估计算法，即幅度加权最小平方估计法。
The effect of sample frequency offset on MIMO-OFDM signals is exploited. An amplitude weighted least squares estimation of sample frequency offset in MIMO-OFDM systems is presented.
本文分析了采样钟频率偏移对MIMO-OFDM系统接收信号的影响，提出了一种适用于MIMO-OFDM系统的采样钟频率偏移估计算法，即幅度加权最小平方估计法。
The effect of sample frequency offset on MIMO-OFDM signals is exploited. An amplitude weighted least squares estimation of sample frequency offset in MIMO-OFDM systems is presented.
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