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Articles by Harsha Medu
Analogue fast Fourier transforms for scalable and efficient signal processing
Abstract Edge devices are increasingly being deployed to sense and act on information from the physical world. The discrete Fourier transform is widely used to make these sensed data suitable for further processing and transmission over communication networks. Analogue in-memory computing can provide energy-efficient processing at the edge, particularly for artificial intelligence workloads, but it has not been extended to large Fourier transforms.
Driving design changes in EDRs
Article By : Harsha Medu Advances in automotive electronics have substantially increased the challenges associated with EDR datalogging. Event data recorders (EDRs), often called black boxes, are not new in automotive electronics. EDRs have been recording data in cars for almost 50 years. During this time, the electronics inside cars has evolved dramatically. And, with so much research into self-driving technology, even more changes are to come.
Meeting emerging requirements for reliable data logging in automotive systems
Event data recorders (EDRs), often called black boxes, are not new in automotive electronics. EDRs have been recording data in cars for almost 50 years. During this time, the electronics inside cars has evolved dramatically. And, with so much research into self-driving technology, even more changes are to come. These advances in automotive electronics have substantially increased the challenges associated with EDR datalogging.
Optimizing non-volatile data-logging for energy harvesting IoT sensor nodes
Harsha Medu & Vijay Ramakrishnan August 27, 2019 Harshameduvijaytr1911,-August 27, 2019 Wireless IoT sensor nodes will be the eyes and ears of tomorrowâs smart factories and industrial applications. Remote wireless nodes will enable the sensing and measurement of real-time machine and environmental parameters â tasks that are both difficult and impractical in current industrial systems.
Optimizing wearable display power consumption
Harsha Medu June 04, 2019 Harshamedu-June 04, 2019 Long battery life is crucial to a positive user experience in wearable devices. Research shows that the most battery power in a wearable application is consumed by the display. One approach is simply to increase battery capacity, but the required size and weight of larger batteries is not practical in wearable devices, especially as the market expands to new, smaller form factors.
Low Power Memory for IoT Wearables and Portable Medical Devices
Power consumption is critical in today’s embedded systems. Emerging low power applications include battery-powered Internet of Things (IoT) sensor nodes, wearables, and medical electronic devices that are power and energy-constrained. With the ultimate goal to reduce overall system power and increase battery life, these applications rely heavily on low power processors and energy-efficient memory solutions.
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