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Using Black-box Compression Algorithms for Phase Retrieval
Milad Bakhshizadeh, Arian Maleki, Shirin Jalali
Compressive phase retrieval refers to the problem of recovering a structured -dimensional complex-valued vector from its phase-less under-determined linear measurements. The non…
VLSI Design of a Nonparametric Equalizer for Massive MU-MIMO
Charles Jeon, Gulnar Mirza, Ramina Ghods +2
Linear minimum mean-square error (L-MMSE) equalization is among the most popular methods for data detection in massive multi-user multiple-input multiple-output (MU-MIMO) wireless…
Optimally-Tuned Nonparametric Linear Equalization for Massive MU-MIMO Systems
Ramina Ghods, Charles Jeon, Gulnar Mirza +2
This paper deals with linear equalization in massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems. We first provide simple conditions on the antenna configu…
An efficient algorithm for compression-based compressed sensing
Sajjad Beygi, Shirin Jalali, Arian Maleki +1
Modern image and video compression codes employ elaborate structures existing in such signals to encode them into few number of bits. Compressed sensing recovery algorithms on the…
On the Gaussianity of Kolmogorov Complexity of Mixing Sequences
Morgane Austern, Arian Maleki
Let and denote the Kolmogorov complexity and Shannon's entropy rate of a stationary and ergodic process $\{X_i\}_{i=-\infty}^…