... analysis without expert input.
In Section 5, we review previous applications of MMPF in
clinical studies [15, 16], in which the ability and reliability
of the method in assessing the CA from spontaneous ... Publishing Corporation
EURASIP Journal on Advances in Signal Processing
Volume 2008, Article ID 785243, 15 pages
doi:10.1155/2008/785243
Review Article
Multimodal...
... 2009, Article I D 395693, p. 20, 2009.
Hindawi Publishing Corporation
Journal of Inequalities and Applications
Volume 2011, Article ID 194394, 23 pages
doi:10.1155/2011/194394
Review Article
Nonlinear ... a powerful hand set for modeling uncertainty and vagueness in various
problems arising in the field of science and engineering. It has also very useful applications
in vario...
... version of VEA reducing
computational complexity; it consists in encrypting the sign
bits of differential values of DC coefficients of I-frames and
sign bits of differential values of motion vectors of ... friendliness: the nonoptimal scanning of
the DCT coefficients introduces loss in compression
efficiency of about 40% [6]. Indeed, this adversely
affects Huffman encoding (due to...
... PAPR reduction using tone
reservation.
1. Introduction
OFDM is one of today’s most widely used and promising
information t ransmission sche mes. One of the main disad-
vantages of OFDM, however, ... number of
signals.
The Khinchine inequality (I.B.8 in [15]) is the analogous
statement to Paley’s Theorem for the Walsh basis. Her e,
again, one could gain solvability by taking the elem...
... improved
by using models trained on noise-corrupted training data,
since such models can accommodate the effect of noise. The
use of the same noise conditions for training the models, and
testing is ... entire
collection of bird recordings from the third CD was used.
It contains recordings of 99 different types of birds with
various character of sounds, ranging from tonal sounds tha...
... weakly C-minimal point of M with respect to C if there exists no y ∈ M,
such that y<
C
y
0
.
The sets of C-minimal point and weakly C-minimal point of M are denoted by Min
C
M and
WMin
C
M, ... 1–16.Tanino5 obtained some results concerning sensitivity analysis in vector
optimization by using the concept of contingent derivatives of set-valued maps introduced
in 17,andS...
... subsection. For gaining insight
into the power allocation based on minimizing the SER, we
are going to minimize the approximate MGF of the random
variable γ, obtained in (51). Using (51)and(57), ... function of order n. Combining
(C.2), (C.3), and (C.4), the desired result given in (28)is
achieved.
D. Proof of Theorem 2
From (41)–(43), and by using a tractable definition of the
div...
... referred to as the linear and nonlinear
parameters, respectively, since the noise corrupted data X(k)
is linear in S(k) but nonlinear in Θ.
A standard procedure of solving this type of joint maxi-
mization ... estimation
In the second example, we investigate the performance of the
SC-ML and the AC-ML in estimating the DOA of a single
source in the presence of nonuniform se...
... the in uence of the RWP, SIMM, and GIMM models.
In this scenario, the traffic of 10 CBR sources randomly ini-
tialized was generated and maintained until the end of simu-
Table 4: The in uence of ... generic individual markovian mobility (GIMM)
model. In the latter, the absolute value of the position incre-
ments can be a real number in the interval [1, Δ
max
]. By al-
lowing...
... referred to as the linear and nonlinear
parameters, respectively, since the noise corrupted data X(k)
is linear in S(k) but nonlinear in Θ.
A standard procedure of solving this type of joint maxi-
mization ... estimation
In the second example, we investigate the performance of the
SC-ML and the AC-ML in estimating the DOA of a single
source in the presence of nonuniform se...