Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 221 for “"signal detection"”.
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Integration of Multidimensional Signal Detection Theory with Fuzzy Signal Detection Theory
Signal detection theory (SDT) has proven to be a robust and useful statistical model for analyzing human performance in detection and decision making tasks. As with many models extensions have been proposed in order capture and represent the real world to a greater degree. Multidimensional Signal …
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Debiasing reasoning : a signal detection analysis
… a particular answer, independent of reasoning. A Signal Detection Theory (SDT) approach is used to calculate measures of reasoning accuracy and response bias. These measures are then analysed using mixed effects models. Chapter 1 gives a general introduction to the topic, and outlines the content …
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The A-B Signal Detection Theory Model
… Green and Swets (1966)'s contention that the detection and response processes are independent from each other is questionable. Furthermore, the findings from the Monte Carlo Study suggest that the <em>a-b</em> SDT model provides more accurate measures to capture the dependency between these …
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Optical tweezers for signal detection and micromanipulation
… The length of time over which the SERRS signal could be recorded was increased, from milli-seconds to minutes, by using 1064 nm optical tweezers and introducing second harmonic light, generated via a frequency doubling crystal, for the excitation of the SERRS signal. In addition to …
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Adaptive Neural Signal Detection for Massive MIMO
… systems. Massive MIMO gives rise to challenging signal detection problems for which traditional detectors are either impractical or suffer from performance limitations. Recent work has proposed several learning approaches to MIMO detection with promising results on simple channel models (e.g., …
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Neurosensory modeling of signal detection in comodulated noise
… regions. Often, comodulated sounds hamper the detection of relevant sounds, thus acting as maskers. Signal detection in comodulated noise has been examined with two experimental paradigms, comodulation masking release (CMR) and comodulation detection difference (CDD). The present dissertation …
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Transient signal detection using GPS position time series
… from the position time series because of low signal-to-noise ratios (SNR), correlated noise in space and time and large number of sites in a network. As a systematic detection method, we use state estimation based on Kalman filtering and principal component analysis (PCA). State estimation …
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Enhanced Weak Signal Detection Using SVM Based Correlation Algorithm
Traditional signal detection algorithms are often robust and are typically sufficient for high SNR data. However, the assumptions behind these methods begin to fall apart when signal period becomes either very short, or small in amplitude compared to any corruptive noise. To address this a kernel …
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Cyclostationary Methods for Communication and Signal Detection Under Interference
… introducing redundancies into multicarrier signals to make them more robust, applying a novel filtering structure for mitigating radar interference to orthogonal frequency division multiplexing (OFDM) signals and for exploiting the cyclostationary nature of signals to whiten the spectrum in …
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Computer Vision Based Millimeter Wave Radar For Vital Signal Detection
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Signal Detection and Modulation Classification in Non-Gaussian Noise Environments
Signal detection and modulation classification are becoming increasingly important in a variety of wireless communication systems such as those involving spectrum management and electronic warfare and surveillance, among others. The majority of the signal detection and modulation classification …
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Improving Signal Clarity through Interference Suppression and Emergent Signal Detection
… of these applications is to detect or extract a signal of interest. This task is complicated by the presence of interferers and noise, which corrupts the recorded array signals. This dissertation explores two new techniques that increase signal clarity: interferer suppression and emergent signal …
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Weak narrow-band signal detection in multivariate non-gaussian clutter
… performance analysis of non-linear receivers for detection of weak narrow-band signals in multivariate non-Gaussian clutter. The novelty of the detection scheme lies in the utilization of both the complex measurement and the multivariate non-Gaussian character of the clutter. Two clutter models …
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Robust acoustic signal detection and synchronization in a time varying ocean environment
Signal detection and synchronization in the time varying ocean environment is a difficult endeavor. The current common methods include using a linear frequency modulated chirped pulse or maximal length sequence as a detection pulse, then match filtering to that signal. In higher signal to noise …
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Determination of the Parameter Limits for Artificial Non-random Microwave Signal Detection
… of small bandwidth (several Hertz) microwave signals makes identification of spectral features difficult; the Doppler individual bandwidth shift can be a factor of hundreds or thousands of times greater than the bandwidth. A computer model supplied by the National Aeronautics and Space …
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Robust acoustic signal detection and synchronization in a time varying ocean environment
Signal detection and synchronization in the time varying ocean environment is a difficult endeavor. The current common methods include using a linear frequency modulated chirped pulse or maximal length sequence as a detection pulse, then match filtering to that signal. In higher signal to noise …
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Ambient Backscatter Communication Systems: Design, Signal Detection and Bit Error Rate Analysis
… backscatter systems, including non-coherent detection and encoding schemes, and investigate techniques such as multiple antenna interference cancellation and frequency-shift backscatter to improve the bit error rate performance of the designed ambient backscatter systems. First, the problem …
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Contributions of Signal-detection Mechanisms and Semantic Memory Representations to Famous Name Recognition
… name recognition. In Chapter 2, I developed a signal-detection model that describes how people discriminate between famous and fictional names. I found that similarly to recognition memory, famous name recognition relies on graded evidence that can be modeled successfully with Gaussian …
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Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory
… while the maximum information of the observed signal is preserved. We prove that any invariant test with respect to the MIG is CFAR. Then, we introduce the UMP-CFAR test as the optimal CFAR bound among all CFAR tests. In the third part, the asymptotical optimality of the CFAR tests is studied …
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