We now consider the project norm square of vector h onto B normalized vectors, w j, j = 1,..., B, i.e. b j = |h T w j |2, j = 1, 2,..., B, and focus again on the l th largest one among totally B projection norm square, i.e. bl:B.
Similar ideas are also reflected in substantial shifts of focus in fields like primatology where projected gender norms had given rise to a "general vision that primate society revolves around males and is based on aggression, domination, and hierarchy" (Strum and Fedigan 2000, 5).
Pena-Casanova, J. et al. Spanish Multicenter Normative Studies (NEURONORMA Project): norms for the Rey-Osterrieth complex figure (copy and memory), and free and cued selective reminding test.
But cultures interpret sexed bodies differently and project different norms on those bodies thereby creating feminine and masculine persons.
In the early years, they were shot with hand-cranked cameras at varying speeds — sixteen or eighteen frames per second was roughly the norm — and projected a little faster.
Consequently, extremely high summer temperatures, which may have occurred only infrequently in the recent past (99% percentile of the 1961 1990 June August distribution of modeled TX), for example 30°C in Beirut, 39°C in Athens, 47°C in Riyadh and 51°C in Kuwait City, are projected to become the norm by 2070 2099.
Lacking that awareness, he projected his home-country norms onto his peer.
When the BD algorithm is employed, the norm of the equivalent channel after precoding equals the norm of the projected channel.
Also, for estimation of range-angle-Doppler parameters, the 2D SLIM outperforms the matched filter (MF), smoothed L0-norm (SL0), iterative adaptive approach (IAA), and spectral projected gradient for l 1-norm minimization (SPGL1) algorithms.
Alibaba Chairman Ma has also projected what would become a norm for Singles' Day today.
In fact, the frequency content of the spectrum is inversely proportional to the ℓ2-norm of the projected vector: P MU = 1 e H π ⊥ e (58) π ⊥ = ∑ i = k + 1 m v i v i H (59). where v i s are eigenvectors of R corresponding to the noise subspace.
