Cooperative communication with relaying has also attracted considerable attention in recent years since it provides coverage extension, capacity, outage, and error performance enhancement [7].
It is mentioned that the Minimum Mean Square Error(MMSE) enhancement approach is much more efficient than other approaches in minimizing both the residual efficient and the speech distortion.
Since there was no change (t-test, P>0.05) in resting activity during the course of the recording sessions (Figure 3; grey left histogram pair), we concluded that the post-error activity enhancement was specific to the WS influence, thereby providing the substrate for a functional link between error detection and a subsequent attentional process.
There was no difference for content errors or enhancements.
We used established methods and definitions, and a rigorous approach to the classification of errors and enhancements.
If the enhanced object fails either of the error checks, the enhancement is rejected; otherwise it is accepted.
A quantitative comparison is performed between several filters and the proposed algorithm in terms of Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Image Enhancement Factor (IEF), Mean Structural SIMilarity (MSSIM) Index, and computational time.
The NS-HMM is used as a compact, parametric model, generalized from the stationary-state HMM, for describing clean speech statistics in the construction of the minimum mean-square-error (MMSE) speech enhancement system.
Furthermore, taken individually for each of the recording sessions, this effect was found in a majority of neurons exhibiting a post-error firing rate enhancement in response to the warning stimulus (Table 1; n = 49; 62%; χ2 test, P<0.001).
Those individuals with the smallest neural responses associated with intrinsic motivation exhibited the greatest error-related neural enhancement under the external contingency of possible reward.
