Sentence examples for perceivable quality of from inspiring English sources

Exact(2)

In the two-user scenario, the hierarchical modulation strategy, the video codec scalability in spatial domain is considered and an optimized strategy is proposed for the best perceivable quality of the scalable video transmission.

The simulation results show 1.5 dB gain in in the single user scenario and 6 dB gain in PSNR (perceivable quality of the scalable video) in two user scenario.

Similar(58)

In fact there is a perceivable quality difference in Figure 4c,f.

It is perceivable that adjustments in the interpretation of signal intensity could significantly improve the sequence quality of homopolymers.

In the context of Quality of Experience (QoE) research, there is an interest in understanding the impact of various web site design and performance factors, i.e., QoE influence factors (IFs) on different perceivable characteristics of a user's experience which contribute to its quality, i.e., QoE features.

Quality of the lumber.

Quality of Web site.

The hysteresis-based process adds stability and decreases the variations in perceivable video quality due to variations in the input arrival traffic and wireless link capacity.

In assessment of image perception, this concept is used not only for colour changes, but all visually perceivable aspects of image quality e.g. blurring and contrast, as well as other aspects of image quality [16].

Noise and speckle, which are considered as undesirable properties, directly impact on the subjective study of the maximum frequency waveform extracted from the spectrogram, deteriorate the quality and the perceivable resolution of the indices and the features based on the estimated spectrograms and thus lead to inaccuracy in diagnoses of the artery diseases.

Mutual relations between QoE and multiple perceivable characteristics of the experience that contribute to its quality, referred to as QoE features, are found to be highly and positively correlated, and are further quantified using multiple linear regression models.

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