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A global least mean square algorithm for adaptive IIR filtering

W. Edmonson, J. Principe, K. Srinivasan, Chuan Wang
1998 IEEE transactions on circuits and systems - 2, Analog and digital signal processing  
On the other hand, adaptive filters based upon the infinite-impulse response (IIR) structure [4] have the advantage of approximating a pole-zero model more accurately than the FIR structure.  ...  In this brief, a receiver based on a compact neural network for the CDMA system with robust resistance to the near-far problem is presented.  ...  The algorithm and simulation results of the compact neural-network-based CDMA receiver are described in this brief.  ... 
doi:10.1109/82.664244 fatcat:l6w5f6tblva4hl5benddfzs75a

Accurate and compact stochastic computations by exploiting correlation

2019 Turkish Journal of Electrical Engineering and Computer Sciences  
Experimental results show that our methods have improved the accuracy of stochastic computation and preserved the stochastic computing correlation without the need for conversion from SC to the conventional  ...  binary-encoded computing, and vice versa.  ...  Stochastic computing Stochastic computing basics Stochastic computing is a computing paradigm that represents and processes information in the form of digitized probabilities.  ... 
doi:10.3906/elk-1805-195 fatcat:sydyuzbwnzgx7jt43atlzybu5y

Analog Signal Processing Using Stochastic Magnets

Samiran Ganguly, Kerem Y. Camsari, Avik W. Ghosh
2021 IEEE Access  
A note on Binary Stochastic Neuron (BSN) or p-bit and its connections to ASN: A binary stochastic neuron can be built from the same 1-MTJ 1-T unit by using a digital buffer (say CMOS inverters or a latched  ...  We can utilize this stochastic behavior to build noisy hardware neurons, both analog and digital versions. A.  ...  He has over 100 refereed papers and book chapters and a book published from World Scientific in the areas of computational nano-electronics and low power computing, including 2D materials, nanomagnetism  ... 
doi:10.1109/access.2021.3075839 fatcat:hp3xxzgkjbfn7pnulu6nusa4ma

2019 Index IEEE Transactions on Emerging Topics in Computing Vol. 7

2020 IEEE Transactions on Emerging Topics in Computing  
-March 2019 18-30 Compact and accurate digital filters based on stochastic computing. Ichihara, H., +, TETC Jan.  ...  ., +, TETC April -June 2019 242-243 Digital filters Compact and accurate digital filters based on stochastic computing. Ichi- hara, H., +, TETC Jan.  ... 
doi:10.1109/tetc.2020.2973584 fatcat:4txtg6db3reurmvwkf346sxotm

A stochastic approach to STDP

Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Andre van Schaik
2016 2016 IEEE International Symposium on Circuits and Systems (ISCAS)  
On the arrival of a pre- and post-synaptic spike, the STDP adaptor will send a digital spike to the decay generator.  ...  The exponential decay, which is computational expensive, is efficiently implemented by using a novel stochastic approach, which we analyse and characterise here.  ...  In neuromorphic systems, various implementations of the STDP algorithm have been proposed, such as a circuit based on analogue blocks and flip-flops [2] , a bistable synapse with a very compact analogue  ... 
doi:10.1109/iscas.2016.7538989 dblp:conf/iscas/WangTHTS16 fatcat:mr5esvxzjrdbtdet6e6peiulxi

Polysynchronous stochastic circuits

M. Hassan Najafi, David J. Lilja, Marc Riedel, Kia Bazargan
2016 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)  
This is possible by adopting the paradigm of stochastic computation, where signal values are encoded as random bit streams.  ...  The design method is illustrated with the synthesis of circuits for applications in signal and image processing.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.  ... 
doi:10.1109/aspdac.2016.7428060 dblp:conf/aspdac/NajafiLRB16 fatcat:hwthozrvfveprijyj3q7a4cdda

Preface to the third volume of Model Order Reduction [chapter]

2020 Applications  
Ioan et al., proposes a computer-aided consistent and accurate description of the behavior of electromagnetic devices at various speeds or frequencies, and describes procedures to generate compact electrical  ...  Yano is on model reduction in computational aerodynamics.  ...  Then, methods based on generalized balanced truncation that reduce interconnection structures of a network and the dynamics of each subsystem are discussed. The chapter by D.  ... 
doi:10.1515/9783110499001-201 fatcat:zflj3g7cbrc7zouojvs5g3yghi

Table of contents

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Kim 3337 Circuit Reliability Comparison Between Stochastic Computing and Binary Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  A. van Wyk 3462 Toward Identifying Consumer Responsibility on Voltage Distortion and Filtering Based on the Maclaurin Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcsii.2020.3034472 fatcat:vihnrsgzbbb6de3qjq4sk2ogty

Author Index

2020 2020 IEEE 33rd International System-on-Chip Conference (SOCC)  
Exploring the Scalability of OpenCL Coarse Grained Parallelism on Cloud FPGAs Qiao, Fei WS2.2 113 C2IM: A Compact Computing-In-Memory Unit of 10 Transistors with Standard 6T SRAM Qu, Gang WR1.4  ...  Engine Lin, Tung-Liang TP2.3 141 DVFS Considering Spatial Correlation Timing and Process-Voltage-Temperature Variations Liu, Zheyu WS2.2 113 C2IM: A Compact Computing-In-Memory Unit of 10  ... 
doi:10.1109/socc49529.2020.9524726 fatcat:qluzc5nlwbbyrf7iy5d4pnsrhy

CeMux: Maximizing the Accuracy of Stochastic Mux Adders and an Application to Filter Design [article]

Timothy J. Baker, John P. Hayes
2021 arXiv   pre-print
Stochastic computing (SC) is a low-cost computational paradigm that has promising applications in digital filter design, image processing and neural networks.  ...  We compare CeMux to other SC and hybrid designs for an electrocardiogram filtering case study that employs a large digital filter.  ...  Stochastic Computing Basics Stochastic Numbers Stochastic computing (SC) uses (pseudo) random bit-streams called stochastic numbers (SNs) to encode and process information.  ... 
arXiv:2108.12326v2 fatcat:wdragtmlojcnnb4ez6vj5ppumi

2020 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 67

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Based on Mutual Information Optimization; TCSII Dec. 2020 3577-3581 Qian, K., see Zou, W., 1279-1283 Qian, K., see Qian, L., 2943-2947 Qian, L., Li, D., Qian, K., Ye, Y., Xia, Y., and Mak, T., A Fast-Transient  ...  Sanyal, A., 0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC; TCSII Oct. 2020 1765-1769 Je, M., see Lee, T., TCSII May 2020 876-880 Je, M., see Jeon, H., TCSII Sept. 2020 1539  ...  Umaz, R., TCSII Dec. 2020 3227-3231 Cavity resonator filters Compact and Wideband Octuple-Mode Filter Based on Hybrid Substrate Integrated Waveguide and Spoof Localized Surface Plasmon Structure.  ... 
doi:10.1109/tcsii.2020.3047305 fatcat:ifjzekeyczfrbp5b7wrzandm7e

Mathematical Foundations of Nonlinear, Non-Gaussian, and Time-Varying Digital Speech Signal Processing [chapter]

Max A. Little
2011 Lecture Notes in Computer Science  
computational efficiency shortcomings in both theory and practice.  ...  Classical digital speech signal processing assumes linearity, timeinvariance, and Gaussian random variables (LTI-Gaussian theory).  ...  This work was funded in part by the Wellcome Trust grant number WT090651MF, and supported by Alex "Sandy" Pentland at the Media Lab, MIT.  ... 
doi:10.1007/978-3-642-25020-0_2 fatcat:rrfe2fyjwjaxxpapgcccoej5la

Compact Rayleigh and Rician fading simulator based on random walk processes

A. Alimohammad, S.F. Fard, B.F. Cockburn, C. Schlegel
2009 IET Communications  
This article describes a significantly improved sum-of-sinusoids-based model for the accurate simulation of time-correlated Rayleigh and Rician fading channels.  ...  Every fading block generated using our model has accurate statistical properties on its own and hence, unlike previously proposed models, there is no need for time-consuming ensemble-averaging over multiple  ...  One widely-referenced stochastic SOS-based model was proposed by Zheng and Xiao [13] .  ... 
doi:10.1049/iet-com.2008.0297 fatcat:3ipfduv2m5gddoyej2s6k6x2jm

A Closer Look at the Delay-Chain based TRNG

Milos Grujic, Vladimir Rozic, Bohan Yang, Ingrid Verbauwhede
2018 2018 IEEE International Symposium on Circuits and Systems (ISCAS)  
Based on these computed probabilities, we perform optimizations of the DC-TRNG parameters on two different FPGAs -Xilinx Spartan 6 and Intel Cyclone IV, in order to achieve the highest possible throughput  ...  This paper presents a refined stochastic model of the delay-chain based true random number generator (DC-TRNG) and its application.  ...  The levels of bias of the DC-TRNG before applying the parity filter are calculated based on the stochastic model described in Section II, and the biggest bias values are used as inputs to our optimization  ... 
doi:10.1109/iscas.2018.8351222 dblp:conf/iscas/GrujicR0V18 fatcat:uncnqqwz4bdahnpvp6lxj6z55e

Adaptive signal processing in mixed-signal VLSI with anti-Hebbian learning

M. Figueroa, E. Matamala, G. Carvajal, S. Bridges
2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures (ISVLSI'06)  
We describe analog and mixed-signal primitives for implementing adaptive signal-processing algorithms in VLSI based on anti-Hebbian learning.  ...  Our 64-tap linear filter uses 0.25mm 2 of die area and dissipates 200µW in a 0.35µm CMOS process.  ...  VLSI capacitors are sensitive to charge injection, degrading performance when used with digital pulse-based updates which provide accurate and compact learning rules [5] .  ... 
doi:10.1109/isvlsi.2006.16 dblp:conf/isvlsi/FigueroaMCB06 fatcat:32ykonyxmvfgjm5h277my7jhoi
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