ADMM–net: a deep learning approach for parameter estimation of chirp signals under sub-nyquist sampling
H Su, Q Bao, Z Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Parameter estimation of chirp signals plays an important role in the field of radar
countermeasures. Compressed sensing (CS) based sub-Nyquist sampling and parameter …
countermeasures. Compressed sensing (CS) based sub-Nyquist sampling and parameter …
Markovian Block Sparse Signal Detection Using One Bit Measurements
This paper presents a novel sparse signal detection scheme designed for a correlated
Markovian Bernoulli-Gaussian sparse signal model, which can equivalently be viewed as a …
Markovian Bernoulli-Gaussian sparse signal model, which can equivalently be viewed as a …
Noisy one-bit compressed sensing with side-information
S Kafle, T Wimalajeewa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the problem of sparse signal reconstruction from noisy one-bit compressed
measurements when the receiver has access to side-information (SI). We assume that …
measurements when the receiver has access to side-information (SI). We assume that …
One-Bit Compressed Sensing in the Presence of Noise
S Kafle - 2021 - search.proquest.com
Many modern real-world systems generate large amounts of high-dimensional data
stressing the available computing and signal processing systems. In resource-constrained …
stressing the available computing and signal processing systems. In resource-constrained …