Tutu Ajayi

Also published under:T. Ajayi

Affiliation

Department of Electrical Engineering and Computer Science, University of Michigan at Ann Arbor, Ann Arbor, MI, USA

Topic

Energy Efficiency,Forward Error Correction,Improve Energy Efficiency,Load Data,Memory Hierarchy,Radar Applications,ARM Cortex-M4F,ARM Processor,Access Latency,Analog-to-digital Converter,Applicability Domain,Application Programming Interface,Arbitration,Area Overhead,Average Accuracy,Beamforming,Bottom Left,CNN-based Approaches,Clock Frequency,Code Length,Code Parameters,Codeword,Coding Structure,Component Information,Computational Complexity,Computational Cost,Configuration Parameters,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network Model,Correct Performance,Data Matrix,Data Transfer,Decoding Function,Decoding Scheme,Deep Neural Network,Deep Neural Network Model,Digital Signal Processing,Discrete Components,Efficient Implementation,Emulation Platform,Energy Meter,Energy Performance,File System,Finite Field,Flash Memory,Flexible Array,Formal Verification,Fundamental Operation,Global Level,

Biography

Tutu Ajayi is a PhD student at the University of Michigan. Contact him at [email protected].