signal detection and estimation
signal detection and estimation
... Components and Unequal
Variances 528
9.6 Summary 529
Problems 530
Signal Detection and Estimation
x
ii
Reference 532
Selected Bibliography 532
Chapter 10 Detection and Parameter Estimation ... Unwanted Parameters 580
10.6.1 Signals with Random Phase 583
10.6.2 Signals with Random Phase and Amplitude 595
10.6.3 Signals with Random Parameters 598
10.7 Binary...
13-signal-detection-and-classification-13803335538269
... Noise
Signal Detection: Known Gains
•
Signal Detection: Unknown
Gains
•
Signal Detection: Random Gains
•
Signal Detection:
Single Signal
13.6 Spatio-Temporal Signals
Detection: Known Gains and Known ... or signal masked by noise.” Signal
classification algorithms decide whether a detected signal belongs to one or another of prespecified
classes of signals. The objective o...
13-signal-detection-and-classification-13804470939958
... Noise
Signal Detection: Known Gains
•
Signal Detection: Unknown
Gains
•
Signal Detection: Random Gains
•
Signal Detection:
Single Signal
13.6 Spatio-Temporal Signals
Detection: Known Gains and Known ... or signal masked by noise.” Signal
classification algorithms decide whether a detected signal belongs to one or another of prespecified
classes of signals. The objective o...
13 Signal Detection and Classification
... Noise
Signal Detection: Known Gains
•
Signal Detection: Unknown
Gains
•
Signal Detection: Random Gains
•
Signal Detection:
Single Signal
13.6 Spatio-Temporal Signals
Detection: Known Gains and Known ... or signal masked by noise.” Signal
classification algorithms decide whether a detected signal belongs to one or another of prespecified
classes of signals. The objective o...
Semi-blind signal detection for mimo and mimo-ofdm systems
... improve the bandwidth efficiency and a
two-step semi-blind signal detection algorithm is proposed. The first step cancels ICI
and ISI with an equalizer. The second step is signal detection from ... Ottosson and Wang, 2000;
10
Tjhung, Xue, Dai, Wong and He, 2002; Singh, Kumari, Mallik and Jamuar, 2002;
Mallik, Singh and Kumari, 2003; Liu and Li, 1999]. It is not used...
Tài liệu Detection Power, Estimation Efficiency, and Predictability in Event-Related fMRI pdf
... G., and D’Esposito, M. 1997. A trial-based
experimental design for fMRI. NeuroImage 6: 122–138.
77 3DETECTION, ESTIMATION, AND PREDICTABILITY IN fMRI
Detection Power, Estimation Efficiency, and ... estima-
tion efficiency and detection power and derive theoret-
ical bounds for both quantities. We then describe a
simple model that relates estimation efficiency and
detection...
Introduction to Digital Signal Processing and Filter Design
... discrete-time signals. It describes some applications
of digital signal processing and defines and, suggests several ways of describing
discrete-time signals. Examples of a few discrete-time signals and ... −
7
8
=−0.875
DISCRETE-TIME SIGNALS
7
filters. However, we use the terms digital filter and discrete-time system inter-
changeably in this book. Continuous-time signals and systems...
Detection and Locking
... some form of change detection
is also needed. In this section, we'll take what we've learned about locking and detection and
formulate two pessimistic solutions and one optimistic ... tactics you can
employ for detection. Let me clarify that we are no longer discussing locking, but detection.
Detection is mutually exclusive of locking.
The first two detection tac...
Introduction to Digital Signal Processing and Filter Design - Introduction
... continuous-time signal, and a discrete-time signal. We dis-
cussed the basic procedure followed to sample and quantize an analog signal
PROBLEMS
29
and compared the advantages and disadvantages of digital signal ... fre-
quency so that it can be considered a bandlimited signal. It is this signal that
is sampled and converted to a discrete-time signal and coded to a digi...
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