Reza Ghanaatian Jahromi

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Technology scaling has progressed to enable integrated circuits with extremely high density enabling systems of tremendous complexity with manageable power consumption. With the continuation of Moore's law for many years, electronic chips have been able to ...

This article presents a design-for-test methodology for embedded memories. The methodology relies on a fully random fault model of post-fabrication errors, which results in a low-overhead test strategy. The methodology's effectiveness is demonstrated on an ...

Millimeter wave (mmWave) communication is a promising solution for coping with the ever-increasing mobile data traffic because of its large bandwidth. To enable a sufficient link margin, a large antenna array employing directional beamforming, which is ena ...

A method of accessing a memory space of a memory device with a decoder, the memory space having faults, including the steps of performing a memory access operation by an electronic device to a access a logical memory space of the memory device, and randomi ...

Low power wide area network technologies (LPWANs) are attracting attention because they fulfill the need for long range low power communication for the Internet of Things. LoRa is one of the proprietary LPWAN physical layer (PHY) technologies, which provid ...

A low-complexity, low-power digital correlator for wakeup receivers is presented. With the proposed algorithm, unnecessary computational cycles are dynamically pruned from the correlation using an early threshold check. For the algorithm, we provide a rigo ...

Reza Ghanaatian Jahromi

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Energy- and Cost-Efficient VLSI DSP Systems Design with Approximate Computing

Design for Test With Unreliable Memories by Restoring the Beauty of Randomness

Feedback-Aware Precoding for Millimeter Wave Massive MIMO Systems

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Lora Digital Receiver Analysis And Implementation

A Low-Power Correlator for Wakeup Receivers with Algorithm Pruning through Early Termination