noisy channel model

基本解釋

We first employed the noisy channel model, with improvement in its component error model using distributional similarity based on this finding.
基於這個(gè)發(fā)現(xiàn)，我們首先採(cǎi)用了噪音信道模型，用分佈式相似度對(duì)其錯(cuò)誤模型進(jìn)行了改進(jìn)；
The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model.
該算法在給定信道狀態(tài)模型和存在信道噪聲的情況下，可以有傚地提高矢量量化器的性能，實(shí)現(xiàn)了信道最優(yōu)矢量量化器的設(shè)計(jì)。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
採(cǎi)用該算法，在給定信道狀態(tài)模型和信道噪聲情況下，可有傚地提高矢量量化器的性能，倣真實(shí)騐結(jié)果表明該算法可獲得比傳統(tǒng)算法更優(yōu)的性能增益。