Tài liệu Advanced DSP and Noise reduction P8 pptx
Tài liệu Advanced DSP and Noise reduction P8 pptx
... ]
{}
()()
()()
aXxaXxXaxXax
BB
T
BB
T
1
0
2
1
2
1
1
0
2
)(
2
)(
)(
+
)()()()(
)()(
−−−−=
+−−−+
−−=
+=
∑∑∑
∑
−
===
−
=
N
m
P
k
k
P
k
k
N
m
PP
P
fb
kPmxaPmxkmxamx
mbmeE
(8.55)
where
X
and
x
are the signal matrix and vector defined by Equations (8.12)
and (8.13), and similarly
X
B
and
x
B
are the signal matrix and vector for t...
Tài liệu Advanced DSP and Noise reduction P2 pptx
... noise or any wideband noise whose
spectrum has a non-flat shape; examples are pink noise, brown noise
and autoregressive noise.
(e) Impulsive noise: consists of short-duration pulses of random ... Estimation and Modulation Theory.
Parts I, II and III. Wiley, New York.
2
NOISE AND DISTORTION
2.1 Introduction 2.6 Thermal Noise
2.2 White Noise 2.7 Shot...
Tài liệu Advanced DSP and Noise reduction P4 pptx
... Gaussian with mean vector
µ
x
and covariance
matrix
Σ
xx
, and that the noise
n
(m) is also Gaussian with mean vector
µ
n
and covariance matrix
Σ
nn
. The signal and noise pdfs model the prior ... two-dimensional signal and noise process, the prior spaces of the
signal, the noise, and the noisy signal are illustrated in Figure 4.6. Also
illustrated are the likelih...
Tài liệu Advanced DSP and Noise reduction P15 pptx
... the noise power
spectrum, P
XY
(f) is the cross-power spectrum of the channel input and
output signals, and H(f) is the frequency response of the channel. Note that
in the absence of noise, ... recorders, as
illustrated in Figure 15.5, had a bandwidth of about 200 Hz to 4 kHz.
However, the limited bandwidth, or even the additive noise or scratch noise
pulses, are not consider...
Tài liệu Advanced DSP and Noise reduction P1 pdf
... 80 Hz; band 2 is band-pass and covers
80 Hz to 3 kHz; band 3 is high-pass and covers above 3 kHz; and band 4 is
also high-pass and covers above 9 kHz. At the encoder the gain of each band
is ... time delay, and can
be adjusted to coherently combine the signals. The magnitude frequency
response of each filter can be used to remove the out–of–band noise.
1.3.8 Dolby Noise...
Tài liệu Advanced DSP and Noise reduction P3 pdf
...
Autocorrelation and power spectrum of impulsive noise.
Impulsive noise is a random, binary-state (“on/off”) sequence of impulses of
random amplitudes and random time of occurrence. In Chapter 12, a random ... speech and noise are at
least in part random. The concept of randomness is closely associated with
the concepts of information and noise. Indeed, much of the work on t...
Tài liệu Advanced DSP and Noise reduction P5 ppt
... signal and the noise HMMs maybe
expressed as
()
=
η
,,,maxmaxarg
noisesignalsignal
noise
signal
M
ssYs
Y
s
s
f
MAP
(5.46)
and
()
=
η
,,,maxmaxarg
noisesignalnoise
signal
noise
M
ssYs
Y
s
s
f
MAP
...
filtering and the spectral subtraction methods described in Chapters 6 and
11) or by combining the noise and the signal models to model the n...
Tài liệu Advanced DSP and Noise reduction P6 pdf
... Additive Noise Reduction
Consider a signal x(m) observed in a broadband additive noise n(m)., and
model as
y
(
m
)
=
x
(
m
)
+
n
(
m
)
(6.45)
Assuming that the signal and the noise are ... signal,
the noise- free signal and the noise respectively, and r
xy
is the cross-
correlation vector of the noisy signal and the noise- free signal. Substitution
of Equati...
Tài liệu Advanced DSP and Noise reduction P7 docx
... method, and then consider
the computationally inexpensive LMS gradient search method.
A
z
–1
w
k
(
m+
1)
α
y
(
m
)
e
(
m
)
µ
α
w
(
m
)
Advanced Digital Signal Processing and Noise Reduction, ...
()
[]
01|
~
)1|(
ˆ
=−−
mmmm
xx
E
(7.20)
and we have also used the assumption that the signal and the noise are
uncorrelated. Substitution of Equations (7.9) and (7.16) in...
Tài liệu Advanced DSP and Noise reduction P9 pdf
...
v
N
} span the
noise subspace
and have
σ
n
2
as their
eigenvalues. Since the signal and noise eigenvectors are orthogonal, it
follows that the signal subspace and the noise subspace are ... matrices of the signal x and the noise as
I
2H
n
σ+=
+=
SPS
RRR
nnxx
yy
(9.93)
where R
xx
=SPS
H
and R
nn
=
σ
n
2
I
are the autocorrelation matrices of the
signal and n...