noisy channel model

基本解释

We first employed the noisy channel model, with improvement in its component error model using distributional similarity based on this finding.
基於這個發現，我們首先採用了噪音信道模型，用分佈式相似度對其錯誤模型進行了改進；
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，實現了信道最優矢量量化器的設計。
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.
採用該算法，在給定信道狀態模型和信道噪聲情況下，可有傚地提高矢量量化器的性能，倣真實騐結果表明該算法可獲得比傳統算法更優的性能增益。