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 6 of 6 for “"Support estimation"”.
-
Regularized weighted Chebyshev approximations for support estimation
We introduce a new method for estimating the support size of an unknown distribution which provably matches the performance bounds of the stateof-the-art techniques in the area and outperforms them in practice. In particular, we present both theoretical and computer simulation results that …
-
One-bit Compressed Sensing in the Presence of Noise
… CS) for signal reconstruction and parameter estimation. </p><p>We first consider the problem of joint sparse support estimation with one-bit measurements in a distributed setting. Each node observes sparse signals with the same but unknown support. The goal is to minimize the probability of …
-
Tackling Key Challenges to Guide Clinical Decisions in Cardiovascular Diseases
… hand, is hindered by the fact that the common support assumption is not \textit{a priori} guaranteed to be valid in non-randomized data. This thesis develops and applies approaches that address these challenges in order to obtain clinically useful insights. In the first part of the thesis, we …
-
Global optimization methods for localization in compressive sensing
… dependence on G in the proposed framework supports the high-resolution provided by the virtual array aperture while using a small number of MIMO radar elements. The second part of the dissertation focuses on the sparse recovery problem at the heart of compressive sensing. An algorithm, …
-
Small-sample estimation of the mutational support and the distribution of mutations in the SARS-CoV-2 genome
DSpace SAF Submission Ingestion Package generated from Vireo submission #16175 on 2021-09-16 at 16:40:03
-
New Models And Algorithms For Distribution Testing: Beyond Standard Sampling
… is the first known bound independent of the support size of the distribution for this problem. Next, we use our algorithm for tolerant uniformity testing to get an Õ(𝜀⁻⁴)-query algorithm for monotonicity testing in the conditional sampling model, improving on the Õ(𝜀⁻²²)-query algorithm of …