Results 11 to 20 of about 379,828 (307)

Optimal Quantization in Energy-Constrained Sensor Networks under Imperfect Transmission [PDF]

, 2009
This paper addresses the optimization of quantization at local sensors under strict energy constraint and imperfect transmission to improve the reconstruction performance at the fusion center in the wireless sensor networks (WSNs).
Cui, Tao, Ho, Tracey, Zhang, Li, Zhang, Xian-Da   +3 more
core   +1 more source

Quantization and Compressive Sensing [PDF]

, 2014
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component of any modern acquisition system. This book chapter explores the interaction of quantization and compressive sensing and examines practical quantization ...
A. Ai, A. Andoni, A. Calderbank, A. Zymnis, B.G. Bodmann, B.G. Bodmann, C. Schütt, C.S. Güntürk, C.S. Güntürk, D.E. Edmunds, D.L. Hanson, E. Candès, E.J. Candès, F. Krahmer, F. Krahmer, F. Krahmer, F. Krahmer, F. Krahmer, H. Inose, H. Inose, H.Q. Nguyen, J. Blum, J. Feng, J. Laska, J. Laska, J. Max, J.J. Benedetto, J.J. Benedetto, J.N. Laska, L. Jacques, L. Jacques, L. Jacques, M. Iwen, M. Lammers, M. Ledoux, M. Lustig, M. Mishali, M. Rudelson, M. Rudelson, M.A. Davenport, M.K. Varanasi, N.T. Thao, N.T. Thao, P. Deift, P.F. Panter, P.T. Boufounos, P.T. Boufounos, R. Baraniuk, R. Chartrand, R.J. Pai, R.M. Gray, R.M. Gray, S. Lloyd, S.R. Norsworthy, S.S. Chen, T Blumensath, T. Blu, T. Kühn, T.T. Cai, U.S. Kamilov, V.K. Goyal, W. Hoeffding, W.B. Johnson, Y. Plan, Y. Plan, Y. Plan   +65 more
core   +3 more sources

Comments on the Covariant Sp(2)-Symmetric Lagrangian BRST Formalism [PDF]

, 1995
We give a simple geometrical picture of the basic structures of the covariant $Sp(2)$ symmetric quantization formalism -- triplectic quantization -- recently suggested by Batalin, Marnelius and Semikhatov. In particular, we show that the appearance of an
A. Nersessian, Alfaro, Alfaro, Alfaro, Alfaro, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Batalin, Damgaard, De Jonghe, Gregoire, Hata, Khudaverdian, Khudaverdian, P.H. Damgaard, Schwarz, Schwarz   +25 more
core   +3 more sources

Comprehensive Analysis of Quantization Effects on Digital-Controlled Adaptive Self-Interference Cancellation System

IEEE Access, 2020
A digital-controlled adaptive self-interference cancellation system with capabilities of high interference cancellation ratio and strong environmental applicability is presented.
Jinling Xing, Songhu Ge, Yongcai Liu, Zhongpu Cui, Jin Meng   +4 more
doaj   +1 more source

Design Exploration of ReRAM-Based Crossbar for AI Inference

IEEE Access, 2021
ReRAM-based crossbar designs utilizing mixed-signal implementation has gained importance due to their low power, small size, low cost, and high throughput especially for multiply-and-add operations in AI-related applications.
Yasmin Halawani, Baker Mohammad, Hani Saleh   +2 more
doaj   +1 more source

Distortion Minimization Hashing

IEEE Access, 2017
Application of the hashing method to large-scale image retrieval has drawn much attention because of the high efficiency and favorable accuracy of the method.
Tongtong Yuan, Weihong Deng, Jiani Hu
doaj   +1 more source

Covariant canonical quantization [PDF]

, 2005
We present a manifestly covariant quantization procedure based on the de Donder--Weyl Hamiltonian formulation of classical field theory. This procedure agrees with conventional canonical quantization only if the parameter space is $d=1$ dimensional time.
Bashkirov, Bashkirov, Dirac, Dirac, Forger, G.M. von Hippel, Good, Good, Kanatchikov, Kanatchikov, Kanatchikov, Kanatchikov, Kanatchikov, M.N.R. Wohlfarth, Navarro, Navarro, Nikolic, Paufler, Sternheimer, Townsend, Weyl, Weyl   +21 more
core   +1 more source

Positive-Operator Valued Measure (POVM) Quantization

Axioms, 2014
We present a general formalism for giving a measure space paired with a separable Hilbert space a quantum version based on a normalized positive operator-valued measure.
Jean Pierre Gazeau, Barbara Heller
doaj   +1 more source

When Less Is More $\ldots$ Few Bit ADCs in RF Systems

IEEE Access, 2019
Digitizing RF signals using few bit ADCs can provide system advantages in terms of reduced power dissipation, wider sampling bandwidth, and decreased demand for digital throughput. The diversity of established applications based on few bit ADCs, together
Christopher T. Rodenbeck, Matthew Martinez, Joshua B. Beun, Jose Silva-Martinez, Aydin Llker Karsilayan, Robert Liechty   +5 more
doaj   +1 more source

MRQ:Support Multiple Quantization Schemes through Model Re-Quantization [PDF]

arXiv, 2023
Despite the proliferation of diverse hardware accelerators (e.g., NPU, TPU, DPU), deploying deep learning models on edge devices with fixed-point hardware is still challenging due to complex model quantization and conversion. Existing model quantization frameworks like Tensorflow QAT [1], TFLite PTQ [2], and Qualcomm AIMET [3] supports only a limited ...
arxiv