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Showing 1 to 5 of 5 for “"Generalized Approximate Message Passing"”.

  1. Algorithms for 3D time-of-flight imaging

    … scene features. The second application uses a generalized approximate message passing (GAMP) framework to incorporate both accurate probabilistic modeling for the measurement process and underlying scene depth map sparsity to accurately extend the unambiguous depth range of the camera. This …

    mit Repository record for Algorithms for 3D time-of-flight imaging (opens in a new tab)

  2. Low-Complexity Iterative Receiver Design for Multi-Carrier Faster-Than-Nyquist Signaling Over Frequency-Selective Fading Channel

    … iterative receiver based on hybrid message passing is proposed for spectrally efficient frequency division multiplexing (SEFDM) signaling combined with index modulation (IM), which solves the problem of joint symbol detection and channel estimation for frequency-domain …

    uts Repository record for Low-Complexity Iterative Receiver Design for Multi-Carrier Faster-Than-Nyquist Signaling Over Frequency-Selective Fading Channel (opens in a new tab)

  3. Two New Applications of Tensors to Machine Learning for Wireless Communications

    … Bayesian reconstruction algorithm based on the Generalized Approximate Message Passing (GAMP) framework that exploits this prior information about the gradients. Through the numerical simulations, we demonstrate that the developed gradient reconstruction method improves the convergence of the …

    vt Repository record for Two New Applications of Tensors to Machine Learning for Wireless Communications (opens in a new tab)

  4. Analysis of Wireless Networks With Massive Connectivity

    … wireless networks. Specifically, employing the generalized approximate message passing (GAMP) algorithm, we obtain the MMSE estimates of the equivalent effective channel coefficients from the base station (BS) to all users, and transform the received pilot signals into additive Gaussian noise …

    syracuse-diss Repository record for Analysis of Wireless Networks With Massive Connectivity (opens in a new tab)

  5. One-bit Compressed Sensing in the Presence of Noise

    … this signal as side-information. We consider a generalized measurement model of one-bit CS where noise is assumed to be added at two stages of the measurement process- a) before quantizationand b) after quantization. We model the noise before quantization as additive white Gaussian noise and the …

    syracuse-diss Repository record for One-bit Compressed Sensing in the Presence of Noise (opens in a new tab)