Sentence examples for blocks can be expressed from inspiring English sources

After the DFT the th received signal blocks can be expressed as (14).

Thus, our throughput maximization problem over N transmission blocks can be expressed as: begin{array}{*{20}l} mathbf{(P1)}~~~mathbb{C}&= {underset{p_{n,m}ge0}{max}} ~ sum_{n=1}^{N} ell_{n} sum_{m=1}^{M} log(1+p_{n,m}H_{n,m}) end{array} (6).

The real/imaginary separation blocks can be expressed as simple linear relationships: ℜ y i ( X ) = y i ( X ) + y i ( X ) ∗ 2, I y i ( X ) = - j y i ( X ) - y i ( X ) ∗ 2 X = A, B, i = 0, 1 … M - 1 (68).

After CP removal and FFT, the i th and (i + 1 th received post-FFT symbol blocks can be expressed by y i = ∑ k = 1 K Λ i k, 1 e ̃ i k + Λ i + 1 k, 2 e ̃ i + 1 k + n i y i + 1 = ∑ k = 1 K - Λ i + 1 k, 1 e ̃ i + 1 k * + Λ i k, 2 e ̃ i k * + n i + 1 (23).

The differences between the read mapping profiles and of two blocks can be expressed in terms of a position-wise dissimilarity score α| x1 i − y1 j |+β | x2 i − y2 j |, where α and β set relative weights for the influence of read starts and read coverage.

It is shown, by suitable use of the effective medium approximation, that the relative permeability of a stochastic network consisting of idealised pores of randomly varying radius, which are progressively constrited and/or blocked, can be expressed analytically as an explicit function of suitable parameters characteristic of pore and network structure as well as the physics of flow.

Now, the output signals of the ILD enhancement block can be expressed as and.

Under this block-fading assumption, the channel input-output relation in one coherence block can be expressed as y = h x + n (1).

The sequence of the n th data block can be expressed as Figure 1 The block diagram of a MC-CDMA transmitter.

Assuming that the receiver is fully synchronized and time delays are known, the received signal for n th block can be expressed as (5).

Considering such a result, the stress strain relation of the form block can be expressed in a bi-linear model, as shown in Fig. 8.