Search Results - "Nassralla, Mohammad H."

Hybrid Distributed Optimization for Learning Over Networks With Heterogeneous Agents by Nassralla, Mohammad H., Akl, Naeem, Dawy, Zaher

“…This paper considers distributed optimization for learning problems over networks with heterogeneous agents having different computational capabilities. The…”
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A Clustering-Based Approach for Designing Low Complexity FIR Filters by Nassralla, Mohammad H., Akl, Naeem, Dawy, Zaher

“…Low power requirements, real-time constraints and big data applications present several challenges to digital signal processing (DSP) that span multiple…”
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A Low-Complexity Detection Algorithm for the Primary Synchronization Signal in LTE by Nassralla, Mohammad H., Mansour, Mohammad M., Jalloul, Louay M. A.

“…One of the challenging tasks in Long-Term Evolution (LTE) baseband receiver design is synchronization, which determines the symbol boundary and transmitted…”
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A Low Complexity Approximation of Gradient Descent for Learning over Single and Multi-Agent Systems by Nassralla, Mohammad H., Akl, Naeem, Mohamed, Amr, Dawy, Zaher

“…Gradient descent (GD) is an iterative optimization method to minimize a differentiable cost function. A main drawback of GD is its use of the entire dataset to…”
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Multiplication-Free Detection Algorithm of the Primary Synchronization Signal in LTE by Nassralla, Mohammad H., Ayoub, Hassan, Akl, Naeem, Jichi, Rida, Mansour, Mohammad M.

“…Frame synchronization is an important functionality that should be supported in the design of an LTE baseband receiver. Detecting the start of a frame is…”
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A Low-Complexity Detection Algorithm for the Primary Synchronization Signal in LTE by Nassralla, Mohammad H, Mansour, Mohammad M, Jalloul, Louay M. A

“…One of the challenging tasks in LTE baseband receiver design is synchronization, which determines the symbol boundary and transmitted frame start-time, and…”
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