Sentence examples for temporal sizes from inspiring English sources

They provided interesting results for different temporal sizes, from 1 to 10 (10 ms-spaced) LSF vectors.

Haufler and others (1997) define a hierarchy as 'a formal organization of various spatial or temporal sizes or levels graded from small to large'.

This is done for each considered temporal size K, and for a large range of bit rates (see Section 4.4).

It does, however, assume a maximum temporal size of the target, (affecting the target temporal profile), and a positive adding of the target intensity to the background.

We can see that for the 2D-DCT transform coding, the longer is the temporal size, the lower is the ASD.

For the 2D-transform coding methods, the temporal size was varied from 1 to 20 for voiced LSFs, and from 1 to 10 for unvoiced LSFs.

To discretize (D^{alpha}f(t)) based on the L1-scheme, first we defined the temporal size τ and (t_{n}) means nτ.

The curves of the 2D-DCT transform coding are given for the temporal size 2, 5, 10 and 20, and also for the "adaptive" curve (i.e., the values averaged according to the distribution of the temporal size) which is the main reference in this variable-rate study.

Note that for the 2D-DCT the coefficients are fixed whereas they depend on the data for the KLT; thus, for each tested temporal size, the KLT coefficients are also determined from the training data.

This enables one to take into account the distribution of the temporal size of the LSF sequences in the rate-distortion relationship, for a fair comparison with the proposed LT coding technique.

The histogram of the temporal size K of the LSF (voiced and unvoiced) sequences for both training and test corpus are given on Figure 2. Note that the average size of an unvoiced sequence (about 5 vectors ≈ 100 ms) is significantly smaller than the average size of a voiced sequence (about 15 vectors ≈ 300 ms).