Tài liệu Advanced DSP and Noise reduction P3 pdf
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 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 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 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...
Tài liệu Advanced DSP and Noise reduction P11 pdf
... Additive White Noise. IEEE Trans.
Acoustics, Speech and Signal Processing, ASSP-26, 5, pp. 471–472.
L
INHARD
K. and K
LEMM
H. (1997) Noise Reduction with Spectral
Subtraction and Median Filtering ... mean and the
variance of the noise. Note that the amount over-subtracted is the standard
deviation of the noise. This heuristic formula is appealing because at one
extreme...
Tài liệu Advanced DSP and Noise reduction P12 pdf
... impulsive noise removal system should utilise
(a) the distinct features of the noise and the signal in the time and/ or
frequency domains, (b) the statistics of the signal and the noise processes,
and ...
Impulsive Noise
359
12.1.1 Autocorrelation and Power Spectrum of Impulsive Noise
Impulsive noise is a non-stationary, binary-state sequence of impulses with...
Tài liệu Advanced DSP and Noise reduction P14 pdf
... convergence. The sub-band-
based system is shown in Figure 14.11. The sub-band analyser splits the
input signal into N sub-bands. Assuming that the sub-bands have equal
bandwidth, each sub-band occupies ... telephone and data telecommunication systems,
and acoustic feedback echoes from microphone–loudspeaker systems.
E
Advanced Digital Signal Processing and Noise Reduction, Seco...
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
... 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 ...
()
2
,),())((
xxX
mxmxf
σµ
N
= and
()
2
,),())((
nnN
mnmnf
σµ
N
= are the
Gaussian pdfs of the signal and noise respectively. Substitution of the signal
and noise pdfs in Equ...
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...