Sentence examples for based on soft decision from inspiring English sources

In this paper, we have proposed a novel integrated suppression algorithm based on soft decision using the combined power of the estimated echo and noise power.

From Figure 2a, it is evident that in most noisy conditions, the proposed integrated algorithm based on soft decision yielded a higher ERLE compared to the conventional techniques.

The proposed method efficiently estimates the echo and noise power separately and summates them to provide the unified framework in determining and modifying the suppression gain based on soft decision.

The principal contribution of this study is that the proposed method can efficiently suppress the acoustic echo and noise signal through the suppression gain based on soft decision without the help of an additional residual echo and noise suppressor.

In particular, the acoustic echo and noise signal are able to be reduced at a time through a single gain based on soft decision using the estimated combined power.

Recently, our previous approach in [10] presented the novel acoustic echo suppression (AES) algorithm based on soft decision without the help of the AEC and an additional residual echo suppression (RES), which conventional methods substantially need [10].

Literature [4] also considers the blind recognition of coding parameters based on soft decisions.

Although LDPCA decoding based on soft decisions requires more computational complexity, the soft decision methods are frequently adopted by many LDPCA systems due to its decoding accuracy.

A comparison between transmit power setting based on soft decisions (corresponding to SS) and transmit power setting based on hard decisions (corresponding to OSA) was shown [13].

These methods use a linear equalizer in the first iteration, then applies block level decision feedback based on soft decisions in subsequent iterations.

Since in practice, most wireless systems employ error control coding combined with the interleaving, recent work in this area has addressed multi-user detection for coded systems based on soft decisions [14, 15].