Sentence examples for mean quantization error from inspiring English sources

The relationship (when distortion is defined as the mean quantization error) is plotted in Figure 5.

Figure 3 RDF (capacity of feedback channel) versus mean quantization error.

where D k denotes the upper bound of the mean quantization error and Idenotes the mutual information.

Here, the variable v k, n can be regarded as the mean quantization error for the channel power gain α k, n.

However, we can simplify this criterion in the case where on subcarrier n, the mean quantization error v k, n is identical among all users k.

We use the RDF to characterize the lower bound on the required feedback channel's capacity for a given mean quantization error under OFDMA downlink channels [2].

By Theorem 1, it implies that the mean quantization errors of all users on each subcarrier n are identical, v k, n = v k', n.

Hence, aligned JPEG compression will induce a zero-mean quantization error (denoted by E m, n AJ A ) for all the DCT coefficients, i.e., Figure 4 DCT coefficient variations caused by shifted JPEG compression.

In the proposed algorithm, the quantization error was modified to a running mean in the form of the average quantization error (overline{qe}(t)), based on the premise that the error of a learner will decrease over time for an increasing number of examples if the underlying distribution is stationary; otherwise, if the distribution changes, the error increases.

The mean color quantization error of the -bin histogram is 5.99 CIE94 units and that of quantized image-based on a statistical signature containing 10 color feature vectors was 5.26 CIE94 units.

Using polyphase decomposition of the analysis/synthesis filter banks, we derive the exact expression for the output mean square quantization error.