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In this paper, we prove uniform bounds for $\operatorname {GL}(3)\times \operatorname {GL}(2) \ L$-functions in the $\operatorname {GL}(2)$ spectral aspect and the t aspect by a delta method. More precisely, let $\phi $ be a Hecke–Maass cusp form for $\operatorname {SL}(3,\mathbb {Z})$ and f a Hecke–Maass cusp form for $\operatorname {SL}(2,\mathbb {Z})$ with the spectral parameter $t_f$. Then for $t\in \mathbb {R}$ and any $\varepsilon>0$, we have
The aim of this study was to assess the error made by violating
the assumption of stationarity when using Fourier analysis for
spectral decomposition of heart period power. A comparison was
made between using Fourier and Wavelet analysis (the latter
being a relatively new method without the assumption of
stationarity). Both methods were compared separately for stationary
and nonstationary segments. An ambulatory device was used to
measure the heart period data of 40 young and healthy participants
during a psychological stress task and during periods of rest.
Surprisingly small differences (<1%) were found between the
results of both methods, with differences being slightly larger
for the nonstationary segments. It is concluded that both methods
perform almost identically for computation of heart period power
values. Thus, the Wavelet method is only superior for analyzing
heart period data when additional analyses in the time-frequency
domain are required.
Parvocellular (P-) and magnocellular (M-) cells
in the marmoset LGN can receive prominent rod input up
to relatively high illuminance levels (Kremers et al.,
1997b). In the present paper, we quantify rod
and cone input strengths under different retinal illuminance
levels. The stimulus was based on the so-called “silent
substitution” method. The activities of P- and M-cells
of dichromatic animals were recorded extracellularly. We
were able to adequately describe the response amplitudes
and phases by a vector summation of rod and cone signals.
At low retinal illuminance levels, the cells' responses
were determined by rod and cone inputs. With increasing
illuminances the strength of the cone input increased relative
to the rod strength. But, we often found significant rod
inputs up to illuminances equivalent to 700 td in the human
eye or more. Rod input strength was more pronounced in
cells with receptive fields at large retinal eccentricities.
The phase differences between rod and cone inputs suggest
that the rod signals lag about 45 ms behind the cone signals.
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