Search Results - "Schniter, Philip"

Compressive Phase Retrieval via Generalized Approximate Message Passing by Schniter, Philip, Rangan, Sundeep

“…In phase retrieval, the goal is to recover a signal x ∈ C N from the magnitudes of linear measurements Ax ∈ C M . While recent theory has established that M ≈…”
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Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing by Ziniel, Justin, Schniter, Philip

“…In this work the dynamic compressive sensing (CS) problem of recovering sparse, correlated, time-varying signals from sub-Nyquist, non-adaptive, linear…”
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Expectation-Maximization Gaussian-Mixture Approximate Message Passing by Vila, Jeremy P., Schniter, Philip

“…When recovering a sparse signal from noisy compressive linear measurements, the distribution of the signal's non-zero coefficients can have a profound effect…”
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A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm by Al-Shoukairi, Maher, Schniter, Philip, Rao, Bhaskar D.

“…In this paper, we present an algorithm for the sparse signal recovery problem that incorporates damped Gaussian generalized approximate message passing (GGAMP)…”
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Bilinear Generalized Approximate Message Passing-Part I: Derivation by Parker, Jason T., Schniter, Philip, Cevher, Volkan

“…In this paper, we extend the generalized approximate message passing (G-AMP) approach, originally proposed for high-dimensional generalized-linear regression…”
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Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem by Ziniel, J., Schniter, P.

“…In this work, a Bayesian approximate message passing algorithm is proposed for solving the multiple measurement vector (MMV) problem in compressive sensing, in…”
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Adaptive Detection of Structured Signals in Low-Rank Interference by Schniter, Philip, Byrne, Evan

“…In this paper, we consider the problem of detecting the presence (or absence) of an unknown but structured signal from the space-time outputs of an array under…”
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Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior by Som, S., Schniter, P.

“…We propose a novel algorithm for compressive imaging that exploits both the sparsity and persistence across scales found in the 2D wavelet transform…”
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Bilinear Generalized Approximate Message Passing-Part II: Applications by Parker, Jason T., Schniter, Philip, Cevher, Volkan

“…In this paper, we extend the generalized approximate message passing (G-AMP) approach, originally proposed for high-dimensional generalized-linear regression…”
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A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments by Nassar, Marcel, Schniter, Philip, Evans, Brian L.

“…We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many…”
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An Open-source Implementation of Surface Coil Intensity Correction by Lei, Xuan, Chen, Chong, Schniter, Philip, Ahmad, Rizwan

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Bilinear Recovery Using Adaptive Vector-AMP by Sarkar, Subrata, Fletcher, Alyson K., Rangan, Sundeep, Schniter, Philip

“…We consider the problem of jointly recovering the vector band the matrix C from noisy measurements Y = A(b)C + W,where A(·) is a known affine linear function…”
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A Survey of Stochastic Simulation and Optimization Methods in Signal Processing by Pereyra, Marcelo, Schniter, Philip, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Tourneret, Jean-Yves, Hero, Alfred O., McLaughlin, Steve

“…Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal…”
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Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information by Aggarwal, R., Assaad, M., Koksal, C. E., Schniter, P.

“…We consider the problem of simultaneous user-scheduling, power-allocation, and rate-selection in an orthogonal frequency division multiple access (OFDMA)…”
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Expectation-maximization Bernoulli-Gaussian approximate message passing by Vila, J., Schniter, P.

“…The approximate message passing (AMP) algorithm originally proposed by Donoho, Maleki, and Montanari yields a computationally attractive solution to the usual…”
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Max-SINR ISI/ICI-Shaping Multicarrier Communication Over the Doubly Dispersive Channel by Das, S., Schniter, P.

“…For communication over doubly dispersive channels, we consider the design of multicarrier modulation (MCM) schemes based on time-frequency shifts of prototype…”
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A Simple Derivation of AMP and its State Evolution via First-Order Cancellation by Schniter, Philip

“…We consider the linear regression problem, where the goal is to recover the vector <inline-formula><tex-math notation="LaTeX">\boldsymbol{x}\in \mathbb…”
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AMP-Inspired Deep Networks for Sparse Linear Inverse Problems by Borgerding, Mark, Schniter, Philip, Rangan, Sundeep

“…Deep learning has gained great popularity due to its widespread success on many inference problems. We consider the application of deep learning to the sparse…”
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Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs by Mo, Jianhua, Schniter, Philip, Heath, Robert W.

“…We develop a broadband channel estimation algorithm for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with few-bit analog-to-digital…”
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Vector Approximate Message Passing by Rangan, Sundeep, Schniter, Philip, Fletcher, Alyson K.

“…The standard linear regression (SLR) problem is to recover a vector <inline-formula> <tex-math notation="LaTeX">\mathrm {x}^{0} </tex-math></inline-formula>…”
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