Signal detection techniques applied to the Chandler Wobble

1985 ◽  
Vol 90 (B12) ◽  
pp. 10281 ◽  
Author(s):  
Richard S. Gross
Keyword(s):  
Signal Detection ◽  
Chandler Wobble ◽  
Detection Techniques

Blind Signal Detection Techniques for Spectrum Sensing in Satellite Communication

2017 ◽  
pp. 1-48
Author(s):  
Bilal Muhammad Khan ◽  
Rabia Bilal
Keyword(s):  
Correlation Function ◽  
Signal Detection ◽  
Communication Systems ◽  
Satellite Communication ◽  
Spectral Correlation ◽  
Detection Techniques ◽  
Blind Signal ◽  
Modulated Signals ◽  
Spectral Correlation Function ◽  
Frequency Axis

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.

A comparison of signal detection techniques in the multifocal electroretinogram

2008 ◽  
Vol 117 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Tom Wright ◽  
Josefin Nilsson ◽  
Christina Gerth ◽  
Carol Westall
Keyword(s):  
Signal Detection ◽  
Multifocal Electroretinogram ◽  
Detection Techniques

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

1987 ◽  
Vol 41 (7) ◽  
pp. 1145-1147 ◽  
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.

Through-Casing Resistivity Logging Signal Acquisition and Processing Techniques

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.

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

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.

Sign in / Sign up

Export Citation Format

Share Document