4. Computer Science
  5. Information Theory

Jason N. Laska

Computer Science – Information Theory

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A simple proof that random matrices are democratic

Mathematics – Numerical Analysis
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Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

Computer Science – Information Theory
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Regime Change: Bit-Depth versus Measurement-Rate in Compressive Sensing

Computer Science – Information Theory
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Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors

Computer Science – Information Theory
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The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range

Computer Science – Information Theory
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Profile ID: LFWR-SCP-P-270144

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