Essays about: "compressive sensing CS"
Found 5 essays containing the words compressive sensing CS.
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1. Sparse Approximation of Spatial Channel Model with Dictionary Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In large antenna systems, traditional channel estimation is costly and infeasible in some situations. Compressive sensing was proposed to estimate the channel with fewer measurements. Most of the previous work uses a predefined discrete Fourier transform matrix or overcomplete Fourier transform matrix to approximate the channel. READ MORE
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2. Reconstruction of Hyperspectral Images Using Generative Adversarial Networks
University essay from Linköpings universitet/ReglerteknikAbstract : Fast detection and identification of unknown substances is an area of interest for many parties. Raman spectroscopy is a laser-based method allowing for long range no contact investigation of substances. READ MORE
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3. Compressive Sensing: Single Pixel SWIR Imaging of Natural Scenes
University essay from Linköpings universitet/DatorseendeAbstract : Photos captured in the shortwave infrared (SWIR) spectrum are interesting in military applications because they are independent of what time of day the pic- ture is captured because the sun, moon, stars and night glow illuminate the earth with short-wave infrared radiation constantly. A major problem with today’s SWIR cameras is that they are very expensive to produce and hence not broadly available either within the military or to civilians. READ MORE
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4. Development of 3D Spectrometry using Compressive Sensing
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Multi-spectral imaging is a powerful approach in spectral analysis of objects with spatial details. However, such approaches are most often time consuming and experimentally complex since both spectral and spatial information in two dimensions are to be resolved. READ MORE
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5. Compressive Sensing in Medical Ultrasonography
University essay from KTH/Ljud- och bildbehandlingAbstract : The recently introduced compressive sensing (CS) theory allows – under certain assumptions – to recover a signal sampled below the Nyquist sampling limit. Compressive sensing can be applied for two purposes. First, to decrease the number of samples needed to capture the information, thus allowing faster acquisitions. READ MORE