Publications associées à Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

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An Adaptive Sublinear-Time Block Sparse Fourier Transform

Volkan Cevher, Mikhail Kapralov, Jonathan Mark Scarlett, Amir Zandieh

The problem of approximately computing the

k

dominant Fourier coefficients of a vector

X

quickly, and using few samples in time domain, is known as the Sparse Fourier Transform (sparse FFT) problem. A long line of work on the sparse FFT has resulted in ...

2017

Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

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Interleaving with coroutines: a systematic and practical approach to hide memory latency in index joins

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Exploiting Compute Caches for Memory Bound Vector Operations

3D Bpconvnet To Reconstruct Parallel Mri

Adaptive Cache Mode Selection for Queries over Raw Data

Automated Synthesis of Adversarial Workloads for Network Functions

Trading off Energy versus Accuracy in Modern Computing Systems

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

An Adaptive Sublinear-Time Block Sparse Fourier Transform

DynOR: A 32-bit Microprocessor in 28 nm FD-SOI with Cycle-By-Cycle Dynamic Clock Adjustment

Interleaving with coroutines: a systematic and practical approach to hide memory latency in index joins

Exploiting Compute Caches for Memory Bound Vector Operations

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Trading off Energy versus Accuracy in Modern Computing Systems

Adaptive Cache Mode Selection for Queries over Raw Data

DynOR: A 32-bit Microprocessor in 28 nm FD-SOI with Cycle-By-Cycle Dynamic Clock Adjustment

Automated Synthesis of Adversarial Workloads for Network Functions

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

An Adaptive Sublinear-Time Block Sparse Fourier Transform

3D Bpconvnet To Reconstruct Parallel Mri