1) posteriori Bark SNR
后验Bark信噪比
2) posterior signal to noise ratio
后验信噪比
1.
Unlike conventional AOFDM systems which adopt fixed thresholds, the method calculates bit error rate (BER) of a subband when adopting each modulation based on the posterior signal to noise ratio (SNR) under current channel state, and compares it with the target SNR to determine adopted modulation.
提出了一种基于子带的自适应正交频分复用(AOFDM)系统的调制方式的自适应选择方法,不同于传统AOFDM系统采用固定的门限,该方法基于子带中所有子载波的后验信噪比(SNR),计算得到当前信道状况下不同调制方式该子带的误码率(BER),并与系统所要求的目标BER对比从而确定子带所采用的调制方式。
3) SN ratio experiment
信噪比试验
5) Priori SNR
先验信噪比
1.
Speech Enhancement Based on Estimation of Priori SNR Using Iterative Spectral Gain Method;
基于谱增益迭代的先验信噪比估计语音增强算法
2.
The decision-directed method can not acquire the accurate priori SNR estimation in wiener speech enhancement method.
因此在维纳滤波语音增强方法中,采用直接判决法不能够准确地估计出先验信噪比。
6) post-detection SNR
后检测信噪比
1.
The algorithm first applies the modified QR decomposition with column pivoting to channel matrix, then divides the symbol vector for detection into sensitive symbol subgroup and the reliable symbol subgroup by comparing the post-detection SNRs with the group thresholds, which are computed and stored in system beforehand.
该算法首先对信道矩阵作修正的选主列QR分解,然后根据各检测层的后检测信噪比与预先计算并存储在系统中的分组门限相比较的结果,将待检符号矢量分为敏感符号分组和可靠符号分组。
补充资料：后验
1.日后验证。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条