On signal detection techniques for the DVB-T standard

Modulated signals used in communication systems exhibits cyclic periodicity. This is primarily due to sinusoidal product modulators, repeating preambles, coding and multiplexing in modern communication. This property of signals can be analyzed using cyclostationary analysis. SCF (Spectral correlation function) of cyclic autocorrelation (CAF) has unique features for different modulated signals and noise. Different techniques are applied to SCF for extracting features on the basis of which decision of detecting a signal or noise is made. In this chapter, study and analysis of different modulated signals used in satellite communication is presented using SCF. Also comparison of several signal detection techniques is provided on the basis of utilizing unique feature exhibit by a normalized vector calculated on SCF along frequency axis. Moreover a signal detection technique is also proposed which identifies the presence of a signal or noise in the analyzed data within the defined threshold limits.

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A comparison of signal detection techniques in the multifocal electroretinogram

Documenta Ophthalmologica ◽

10.1007/s10633-008-9121-1 ◽

2008 ◽

Vol 117 (2) ◽

pp. 163-170 ◽

Cited By ~ 4

Author(s):

Tom Wright ◽

Josefin Nilsson ◽

Christina Gerth ◽

Carol Westall

Keyword(s):

Signal Detection ◽

Multifocal Electroretinogram ◽

Detection Techniques

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Raman Spectroscopy Using dc Signal Detection and a Microcomputer: An Alternative Approach

Applied Spectroscopy ◽

10.1366/0003702874447554 ◽

1987 ◽

Vol 41 (7) ◽

pp. 1145-1147 ◽

Cited By ~ 2

Author(s):

E. Neil Lewis ◽

Ira W. Levin

Keyword(s):

Signal Detection ◽

Laser Excitation ◽

Excitation Power ◽

Signal Averaging ◽

Raman Spectroscopic ◽

Detection Techniques ◽

Medium Resolution ◽

Alternative Approach ◽

Wide Range ◽

Generic Data

Raman spectroscopic data have been obtained with the use of direct current (dc) signal detection, an IBM PC/AT microcomputer, and commercially available software. Since photomultiplier currents of the order of nanoamps to microamps are readily attained for Raman emission under conditions of moderate laser excitation power levels (150–200 mW) and medium resolution spectral slits (1–4 cm−1), signal levels well within the domain measurable by dc signal detection techniques are achieved for a wide range of chemical and biochemical samples. Further, the digitization and signal averaging capabilities of generic data acquisition boards and microcomputers allow dc detection to yield signal-to-noise ratios competitive with those derived from complementary pulse-counting techniques.

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Through-Casing Resistivity Logging Signal Acquisition and Processing Techniques

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2659 ◽

2011 ◽

Vol 403-408 ◽

pp. 2659-2662

Author(s):

Zheng Guo Yan ◽

Juan Su

Keyword(s):

Signal Detection ◽

Measurement Range ◽

Low Noise ◽

Signal Acquisition ◽

Weak Signal ◽

Weak Signal Detection ◽

Detection Techniques ◽

Resistivity Logging ◽

Processing Techniques ◽

Signal Acquisition And Processing

Weak signal detection is the key technique in developing through-casing resistivity logging tool. In this paper, ultra-low-noise preamplifier, oversampling method, sampling integration and sampling average method, digital phase-sensitive detection technique are applied in detecting logging signals and 30nV is achieved. The indoor calibration test and field experiment of through-casing resistivity logging model machine with those weak signal detection techniques were carried out. The result showed that the measurement range of formation resistivity is 0~200 Ω.m.

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A novel approach to signal detection in MIMO systems combining coding and joint detection techniques

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914) ◽

10.1109/icccas.2004.1345993 ◽

2004 ◽

Author(s):

Anxin Li ◽

Youzheng Wang ◽

Weiyu Xu ◽

Zucheng Zhou

Keyword(s):

Signal Detection ◽

Mimo Systems ◽

Joint Detection ◽

Detection Techniques ◽

Novel Approach

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A zero-cost attention-based approach to promote cleaner streets

10.31234/osf.io/bnfer ◽

2020 ◽

Author(s):

Rita Abdel Sater ◽

Mathilde Mus ◽

Valentin Wyart ◽

Coralie Chevallier

Keyword(s):

Signal Detection ◽

Detection Rates ◽

Total N ◽

Detection Techniques ◽

Replication Studies ◽

Standard Signal ◽

Colour Changes ◽

The City

In an effort to inform interventions targeting littering behaviour, we estimate how much a change in trash-bag colour increases trash can visibility in Paris. To that end, we apply standard Signal Detection techniques to test how much changing trash-bag colour from grey to red affects subjects' detection rates. In three pre-registered studies (total N = 922), we find that changing trash bag colour from grey to red translates into a 28% increase in the perceived number of bins. This means that a zero-cost change of trash-bag colour from grey to red is equivalent to installing 8,400 additional bins in the city ofParis, in terms of perceived density. Replication studies investigating additional colour changes show that changing the colour from grey to either green or blue further increases visibility, with blue exhibiting the highest increase in visibility.

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