image and signal processing for remote sensing xvii
soille, pesaresi, ouzounis - mathematical morphology and its applications to image and signal processing
Ngày tải lên :
05/06/2014, 11:54
... 393
Alexandru Telea and Andrei Jalba
A Comparison of Two Tree Representations for Data-Driven Volumetric
Image Filtering 405
Andrei C. Jalba and Michel A. Westenberg
Image Decompositions and Transformations ... adapted to bipolar information.
Image Decompositions and Transformations as Peaks and Wells 31
Fig. 1.
Columns 1 and 2 : Binary sets Z and Y and their decomposition
Column 3 : Z Y and its decomposition
Column ... morphology [8], is important to handle in an con-
sistent way an object and its complement for many applications (for instance in
image processing and spatial reasoning). Therefore it is useful to know...
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Tài liệu Signal Processing for Telecommunications and Multimedia P2 ppt
Ngày tải lên :
19/01/2014, 18:20
... manifold. For
further information on derivation and implementation of this hard constraint
refer to [1] and references therein.
The closed form analytical expressions for first and second order informa-
tion ... algorithms for first and third order TITO FIR demixing
systems over 10 trials.
Figure 2-3. (a) and (b) are the two original signals, (c) and (d) are the convolutively mixed
signals, (e) and (f) ... combi-
nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.
K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-
nations,” Digital Signal Processing, vol....
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Tài liệu Signal Processing for Telecommunications and Multimedia P1 ppt
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... Line Slot Array Antenna for
IEEE 802.11 B/G WLAN Applications
S.Zagriatski, and M. E. Bialkowski 197
C.Tanriover, and B.Honary
87
SIGNAL PROCESSING FOR
TELECOMMUNICATIONS
AND MULTIMEDIA
edited ... chapter. We use bold upper and low-
ercase letters to show matrices and vectors, respectively in the time, frequency
and domains, e.g., for matrices and for vectors. Ma-
trix and vector transpose, ... is applied and the
parameters for the HMM are found. The model parameter set for an HMM
with N states and M mixtures is
8
Chapter 1
model, and the gain difference, g, between training and enhancement
environment.
The...
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Tài liệu Signal Processing for Telecommunications and Multimedia P1 docx
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19/01/2014, 19:20
... utilizing signal processing to improve
system performance and allow for a cost reduction. The issues considered
range from antenna design and channel equalisation through multi-rate
digital signal processing ... will be transformed into the log
spectral domain
SIGNAL PROCESSING FOR
TELECOMMUNICATIONS
AND MULTIMEDIA
SIGNAL PROCESSING FOR
TELECOMMUNICATIONS
AND MULTIMEDIA
edited by
Tadeusz A. Wysocki
University ... chapter. We use bold upper and low-
ercase letters to show matrices and vectors, respectively in the time, frequency
and domains, e.g., for matrices and for vectors. Ma-
trix and vector transpose,...
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Tài liệu Signal Processing for Telecommunications and Multimedia P2 pdf
Ngày tải lên :
25/01/2014, 13:20
... manifold. For
further information on derivation and implementation of this hard constraint
refer to [1] and references therein.
The closed form analytical expressions for first and second order informa-
tion ... (a) and (b) are the two original signals, (c) and (d) are the convolutively mixed
signals, (e) and (f) are the permuted separated results.
(2.18,2.19) for K = 401 frames of the two mixed signals. ... combi-
nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.
K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-
nations,” Digital Signal Processing, vol....
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Tài liệu SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIA MULTIMEDIA docx
Ngày tải lên :
25/01/2014, 17:20
... manifold. For
further information on derivation and implementation of this hard constraint
refer to [1] and references therein.
The closed form analytical expressions for first and second order informa-
tion ... combi-
nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.
K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-
nations,” Digital Signal Processing, vol. ... is
investigated.
2.
FEATURE EXTRACTION FROM SIGNALS
The signal of concern is a discrete time noisy speech signal x(n), found
from the corresponding correctly band limited and sampled continuous
signal. It is assumed...
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Tài liệu 71 Chaotic Signals and Signal Processing doc
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16/12/2013, 04:15
... communications,
remote sensing, and a variety of other signal processing applications.
In classical signal processing a rich set of tools has evolved for processing signals that are deter-
ministic and predictable ... rich mechanism for signal design and generation, with potential appli-
cations to communications and signal processing. Because chaotic signals are typically broadband,
noise-like, and difficult ... that are deter-
ministic and predictable such as transient and periodic signals, and for processing signals that are
stochastic. Chaotic signals associated with the homogeneous response of certain...
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Advanced Textbooks in Control and Signal Processing ppt
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05/03/2014, 15:20
... structured and systematic presentation
of some of the newer emerging control and signal processing technologies in
the textbook series.
One of our aims for the Advanced Textbooks in Control and Signal ... Caponetto
Statistical Signal Processing
T. Chonavel
Discrete-time Stochastic Processes (2nd Edition)
T. Söderström
Par a llel Computing for R eal-time Signal Processing and Control
M.O. Tokhi, M.A. Hossain and ... engineering and signal processing continue to flourish and
develop. In common with general scientific investigation, new ideas, concepts
and interpretations emerge quite spontaneously and these are...
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