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 10 of 10 for “"unknown signal"”.
-
Recovery of sparse signals and parameter perturbations from parameterized signal models
Estimating unknown signals from parameterized measurement models is a common problem that arises in diverse areas such as statistics, imaging, machine learning, and signal processing. In many of these problems, however, only a limited amount of data is available to recover the unknown signal. …
-
Locating Unknown Interference Sources with Time Difference of Arrival Estimates
… the identity of an interferer transmitting an unknown signal. This is the situation in which the POWDER testbed found itself in, starting in late 2021. This thesis provides general-purpose tools for operators to locate an unknown signal source in real-world outdoor environments. We used …
-
Rapid Radio: Analysis-Based Receiver Deployment
… much of the knowledge required for analyzing an unknown signal and building an FPGA-based receiver. Resource utilization is traded-off for reduced implementation time and increased exibility. Automatic modulation classification is done with blind parameter estimation. Unlike other contemporary …
-
Predictive Control For Dynamic Systems To Track Unknown Input In The Presence Of Time Delay
… study investigated a tracking system to trace unknown signal in the presence oftime delay. A predictive control method is proposed in order to compensate the time delay. Root locus method is applied when designing the controller, parameter setting is carried out through error and trail …
-
Stat3 Inhibits Type I Interferon Signaling In Type I Conventional Dendritic Cells
… that regulate cDC1 function remain largely unknown. Signal Transducer and Activator of Transcription 3 (STAT3) mediates the intracellular signaling of interleukin 10 (IL-10), an immunosuppressive cytokine. Therefore, we hypothesized that STAT3 and IL-10 inhibit cDC1 function and induction of …
-
Iterative blind separation of Gaussian data of unknown order
… of noisy jointly Gaussian multivariate signals X is presented, where X = AP + N, X is an observed set of vectors, A is the mixing matrix, P is the unknown signal matrix, and N is white noise. The objective is to estimate all matrices on the right-hand side when even their dimensions (the …
-
Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
… In practice, parsimonious structures of natural signals (e.g., subspace or sparsity) are exploited. However, there are few theoretical justifications for using such structures for BIPs. We consider two types of BIPs, blind deconvolution (BD) and blind gain and phase calibration (BGPC), with …
-
Partial discharge denoising for power cables
… based on the characteristics of both PD signals and noise to improve the effectiveness of wavelet-based PD denoising. In the meantime, it presents new findings in the application of empirical mode decomposition (EMD) in PD denoising. Wavelet-based technique has received high attention in …
-
Compressive phase retrieval
… uniformly distribute the information about the unknown signal into the measurement space. Holography is useful to record the scattered field from a sparse distribution of particles; the ability of localizing each particles using compressive reconstruction method is studied. When a thin sample is …
-
Detection of multiple correlated time series and its application in synthetic aperture sonar imagery
Detecting the presence of a common but unknown signal among two or more data channels is a problem that finds its uses in many applications, including collaborative sensor networks, geological monitoring of seismic activity, radar, and sonar. Some detection systems in such situations use decision …