default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSiPS 2021: Coimbra, Portugal
- IEEE Workshop on Signal Processing Systems, SiPS 2021, Coimbra, Portugal, October 19-21, 2021. IEEE 2021, ISBN 978-1-6654-0144-9
- Chunyu Wang, Jiapeng Luo, Zhongfeng Wang:
A Stage-wise Conversion Strategy for Low-Latency Deformable Spiking CNN. 1-6 - Chenhao Zhang, Haiqin Hu, Shan Cao, Zhiyuan Jiang:
A Novel Blind Detection Method and FPGA Implementation for Energy-Efficient Sidelink Communications. 7-11 - Stefan A. Damjancevic, Samuel Ajay Dasgupta, Emil Matús, Dmitry Utyanksy, Pieter van der Wolf, Gerhard P. Fettweis:
Flexible Channel Estimation for 3GPP 5G IoT on a Vector Digital Signal Processor. 12-17 - Nafiseh Seyed Mazloum, Ove Edfors
:
Initial Analysis of Dynamic Panel Activation for Large Intelligent Surfaces. 18-22 - Erik Bertilsson, Carl Ingemarsson, Oscar Gustafsson:
Low-Latency Parallel Hermitian Positive-Definite Matrix Inversion for Massive MIMO. 23-28 - Sifan Wang, Jianhua Geng, Xin Lou:
Fully Convolutional Network-Based DOA Estimation with Acoustic Vector Sensor. 29-33 - Mark Anderson, John Kennedy, Naomi Harte:
Low Resource Species Agnostic Bird Activity Detection. 34-39 - Arne Fischer-Bühner, Emil Matús, Manil Dev Gomony, Lauri Anttila, Gerhard P. Fettweis, Mikko Valkama:
Digital Predistortion with Compressed Observations for Cloud-Based Learning. 40-45 - Kyungmi Lee, Anantha P. Chandrakasan:
Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks. 46-51 - Amir Ardakani, Arash Ardakani, Warren J. Gross:
Fault-Tolerance of Binarized and Stochastic Computing-based Neural Networks. 52-57 - Hsiu-Pin Hsu, Chao-Tsung Huang:
Globally Assisted Instance Normalization for Bandwidth-Efficient Neural Style Transfer. 58-63 - Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Computationally-efficient voice activity detection based on deep neural networks. 64-69 - Yun Wu, Andrew M. Wallace, Andreas Aßmann, Brian Stewart:
Mixed Precision ℓ1 Solver for Compressive Depth Reconstruction: An ADMM Case Study. 70-75 - Xing Chen, Jingtao Li, Chaitali Chakrabarti:
Communication and Computation Reduction for Split Learning using Asynchronous Training. 76-81 - Yun Wu, John McAllister:
Energy-Efficient Adaptive Modulated Fixed-Complexity Sphere Decoder. 82-87 - Hassan Harb, Cédric Marchand, Laura Conde-Canencia, Emmanuel Boutillon, Ali Chamas Al Ghouwayel:
Parallel CN-VN processing for NB-LDPC decoders. 88-93 - Vivian Papadopoulou, Marzieh Hashemipour-Nazari, Alexios Balatsoukas-Stimming:
Short Codes with Near-ML Universal Decoding: Are Random Codes Good Enough? 94-98 - Camille Monière, Kassem Saied, Bertrand Le Gal, Emmanuel Boutillon:
Time sliding window for the detection of CCSK frames. 99-104 - Mathieu Xhonneux, Jérôme Louveaux, David Bol:
Implementing a LoRa Software-Defined Radio on a General-Purpose ULP Microcontroller. 105-110 - Seokhyeon Choi, Kyuhong Shim, Jungwook Choi, Wonyong Sung, Byonghyo Shim:
TernGEMM: GEneral Matrix Multiply Library with Ternary Weights for Fast DNN Inference. 111-116 - Shize Zhao, Liulu He, Xiaoru Xie, Jun Lin, Zhongfeng Wang:
Automatic Generation of Dynamic Inference Architecture for Deep Neural Networks. 117-122 - Nermine Ali, Jean-Marc Philippe, Benoît Tain, Philippe Coussy:
Exploration and Generation of Efficient FPGA-based Deep Neural Network Accelerators. 123-128 - Arash Abbasi, Huaping Liu:
OneAI - Novel Multipurpose Deep Learning Algorithms for UWB Wireless Networks. 129-133 - Nadya A. Mohamed, Joseph R. Cavallaro:
Design and Implementation of Autoencoder-LSTM Accelerator for Edge Outlier Detection. 134-139 - Yue Yu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang:
A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks. 140-145 - Zheang Huai, Keshab K. Parhi, Xinmiao Zhang:
Efficient Architecture for Long Integer Modular Multiplication over Solinas Prime. 146-151 - Yok Jye Tang, Xinmiao Zhang:
An Efficient Parallel Architecture for Resource-Shareable Reed-Solomon Encoder. 152-157 - Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross:
High-Throughput VLSI Architecture for GRAND Markov Order. 158-163 - Thomas Choi, Masaaki Ito, Issei Kanno, Takeo Oseki, Kosuke Yamazaki, Andreas F. Molisch:
Uplink Energy Efficiency of Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channels. 164-169 - Veljko Boljanovic, Danijela Cabric:
Compressive Estimation of Wideband mmW Channel using Analog True-Time-Delay Array. 170-175 - Oscar Castañeda, Gian Marti, Christoph Studer:
Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO. 176-181 - Yue Dai, Harrison Liew, Maryam Eslami Rasekh, Seyed Hadi Mirfarshbafan, Alexandra Gallyas-Sanhueza, James Dunn, Upamanyu Madhow, Christoph Studer, Borivoje Nikolic:
A Scalable Generator for Massive MIMO Baseband Processing Systems with Beamspace Channel Estimation. 182-187 - Maryam Eslami Rasekh, Navid Hosseinzadeh, Upamanyu Madhow, Mark J. W. Rodwell:
An on-off receiver array for low-power scaling of mmWave massive MIMO. 188-193 - Ruqiao Liu, Yi Zhou, Hongqing Liu, Xinmeng Xu, Jie Jia, Binbin Chen:
DFBNet: Deep Neural Network based Fixed Beamformer for Multi-channel Speech Separation. 194-198 - Sheng Chang, Yi-Ta Chen, An-Yeu Andy Wu:
Efficient Mind-wandering Detection System with GSR Signals on MM-SART Database. 199-204 - Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. 205-210 - Hung-Yuan Chin, Pei-Yun Tsai, Szy-Yuan Lee:
Implementation of a Two-Dimensional FFT/IFFT Processor for Real-Time High-Resolution Synthetic Aperture Radar Imaging. 211-216 - Sitian Li, Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming:
ComplexBeat: Breathing Rate Estimation from Complex CSI. 217-222 - Naoya Onizawa, Akira Tamakoshi, Takahiro Hanyu:
Scalable Hardware Architecture for Invertible Logic with Sparse Hamiltonian Matrices. 1-6 - Zihan Xia, Ya Dong, Jienan Chen, Rui Wan, Shuai Li, Tingyong Wu:
Reconfigurable Neural Synaptic Plasticity-Based Stochastic Deep Neural Network Computing. 229-234 - Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Hartley Stochastic Computing For Convolutional Neural Networks. 1-6 - Chengcheng Tang, Jie Han:
Design and Implementation of a Highly Accurate Stochastic Spiking Neural Network. 1-6 - Tony F. Wu, Doyun Kim, Daniel H. Morris, Edith Beigné:
Evaluation of Low-Voltage SRAM for Error-Resilient Augmented Reality Applications. 1-3 - Jonas Weiss, Pascal Stark, Lorenz K. Müller, Folkert Horst, Roger Dangel, Bert Jan Offrein:
Energy Efficiency of Photonic Convolution for Artificial Intelligence Workloads. 1-4 - Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. 254-259 - Jie-Fang Zhang, Zhengya Zhang:
Exploration of Energy-Efficient Architecture for Graph-Based Point-Cloud Deep Learning. 260-264 - Sumeet Singh Nagi, Dejan Markovic:
A Multi-Domain Architectural Efficiency Metric. 265-270
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-06-06 19:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
