Results 11 to 20 of about 1,240,549 (346)
LUT Filters for Quantized Processing of Signals [PDF]
We introduce a method to perform filtering on approximations (quantized versions) of the input signal, which lends itself to a practical implementation solely based on look-up tables (LUTs). The LUT filter approximates the performance of some traditional nonlinear filters at a fraction of the cost. The filter is divided into an approximation stage that
Ricardo L. de Queiroz, P.A. Stein
openalex +2 more sources
Gossip Algorithms for Distributed Signal Processing [PDF]
Gossip algorithms are attractive for in-network processing in sensor networks because they do not require any specialized routing, there is no bottleneck or single point of failure, and they are robust to unreliable wireless network conditions. Recently,
Dimakis, Alexandros G. +4 more
core +4 more sources
Quantization issues in signal processing & control system design [PDF]
Many interesting design problems encountered in signal processing and control turn out to depend on a set of decision variables that can only take a finite number of values, i.e., they are quantized. For example, in power distribution networks there are only a finite number (typically small) of generators and possible transmission options.
Daniel E. Quevedo, Graham C. Goodwin
openalex +3 more sources
Deep Task-Based Quantization [PDF]
Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be significantly improved by processing the ...
Nir Shlezinger, Yonina C. Eldar
doaj +2 more sources
An accurate design of low power Voltage Controlled Oscillator (VCO) enabled quantizer in Continuous Time Sigma Delta ADC in 180nm CMOS technology using Tanner EDA tools is done. The proposed architecture consists of the loop filter, VCO quantizer and the DAC in the feedback side of model.
Anikta Khurana +3 more
+4 more sources
A note on the trade-off between sampling and quantization in signal processing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, D, Pavlidis, T, Wasilkowski, G.W
openaire +2 more sources
Speed up integer-arithmetic-only inference via bit-shifting [PDF]
Quantization is a widely adopted technique in model deployment as it offers a favorable trade-off between computational overhead and performance loss.
Mingjun Song +5 more
doaj +2 more sources
Enhanced Multi-Level Phase Quantizer for the Optical Processing of M-PSK Signals
This paper presents a novel multi-level phase quantizer with the potential of almost ideal step like transfer function. Its operation relies on the proper combination of phase sensitive amplification in highly nonlinear fibers and amplitude limitation offered by injection locked lasers.
Adonis Bogris, Evangelos Pikasis
openalex +3 more sources
Iterative Signal Processing for Integrated Sensing and Communication Systems [PDF]
Integrated sensing and communication (ISAC), with sensing and communication sharing the same wireless resources and hardware, has the advantages of high spectrum efficiency and low hardware cost, which is regarded as one of the key technologies of the ...
Zhiqing Wei +5 more
semanticscholar +1 more source
PTQD: Accurate Post-Training Quantization for Diffusion Models [PDF]
Diffusion models have recently dominated image synthesis tasks. However, the iterative denoising process is expensive in computations at inference time, making diffusion models less practical for low-latency and scalable real-world applications.
Yefei He +5 more
semanticscholar +1 more source

