Pub Date : 2022-09-20DOI: 10.1109/OJCAS.2022.3202588
Alison Burdett
The International Symposium on Integrated Circuits and Systems (ISICAS) is a forum for dissemination of original work with experimental results from integrated circuits and systems in the areas of analog, digital, power, energy, biomedical, sensor interfaces and communications. Papers accepted to be presented at the symposium are automatically published in special issues of leading IEEE Circuits and Systems Society (CASS) journals, namely Transactions on Circuits and Systems (TCAS) Parts I and II, Transactions on Biomedical Circuits and Systems (TBioCAS), and Open Journal of Circuits and Systems (OJCAS).
{"title":"IEEE Open Journal of Circuits and Systems: Special Section on ISICAS 2022","authors":"Alison Burdett","doi":"10.1109/OJCAS.2022.3202588","DOIUrl":"10.1109/OJCAS.2022.3202588","url":null,"abstract":"The International Symposium on Integrated Circuits and Systems (ISICAS) is a forum for dissemination of original work with experimental results from integrated circuits and systems in the areas of analog, digital, power, energy, biomedical, sensor interfaces and communications. Papers accepted to be presented at the symposium are automatically published in special issues of leading IEEE Circuits and Systems Society (CASS) journals, namely Transactions on Circuits and Systems (TCAS) Parts I and II, Transactions on Biomedical Circuits and Systems (TBioCAS), and Open Journal of Circuits and Systems (OJCAS).","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9896231","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72854014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Real-time in-sensor spike sorting is a forefront requirement in the development of brainmachine interfaces (BMIs). This work presents the characterization, design, and efficient implementation on a field-programmable gate array (FPGA) of a novel approach to neural spike sorting intended for implantable devices based on convolutional neural networks (CNNs). While the temporal features, the shape of the spike signals, could be highly mitigated from the ambient noise, the proposed classifier effectively extracts spatial features from the multi-channel neural signal to maintain high accuracy on the noisy data. The proposed classifier mechanism was tested on real data that is recorded from multi-channel electrodes, containing 27 neural units, and the classifier achieves 93.1% accuracy despite high temporal noise in the signal. For hardware synthesis, the CNN weights are quantized to reduce the model storage requirement by 93% compared to its floating point-precision version, and the model achieves an accuracy of 86.1%.
{"title":"Multichannel Many-Class Real-Time Neural Spike Sorting With Convolutional Neural Networks","authors":"Jinho Yi;Jiachen Xu;Ethan Chen;Maysamreza Chamanzar;Vanessa Chen","doi":"10.1109/OJCAS.2022.3184302","DOIUrl":"10.1109/OJCAS.2022.3184302","url":null,"abstract":"Real-time in-sensor spike sorting is a forefront requirement in the development of brainmachine interfaces (BMIs). This work presents the characterization, design, and efficient implementation on a field-programmable gate array (FPGA) of a novel approach to neural spike sorting intended for implantable devices based on convolutional neural networks (CNNs). While the temporal features, the shape of the spike signals, could be highly mitigated from the ambient noise, the proposed classifier effectively extracts spatial features from the multi-channel neural signal to maintain high accuracy on the noisy data. The proposed classifier mechanism was tested on real data that is recorded from multi-channel electrodes, containing 27 neural units, and the classifier achieves 93.1% accuracy despite high temporal noise in the signal. For hardware synthesis, the CNN weights are quantized to reduce the model storage requirement by 93% compared to its floating point-precision version, and the model achieves an accuracy of 86.1%.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9896230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62853241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-13DOI: 10.1109/OJCAS.2022.3206326
Ori Bass;Asaf Feldman;Joseph Shor
A nW-level BJT-based bandgap reference with fine grained voltage and temperature coefficient trimming is presented. The bandgap reference utilizes switched capacitors (SC) as impedance elements instead of resistors in a current mode configuration. This configuration enabled low power (38nW) with a minimal area (0.0174 mm2). The voltage could be trimmed independently without affecting the temperature coefficient. The SC’s are stacked in order to achieve accurate trimming without using unrealistically small capacitors. The temperature coefficient can be trimmed between 50-200 ppm/°C in either direction, while the voltage can be trimmed between 580-800mV.
{"title":"A Resistor-Less nW-Level Bandgap Reference With Fine-Grained Voltage and Temperature Coefficient Trims","authors":"Ori Bass;Asaf Feldman;Joseph Shor","doi":"10.1109/OJCAS.2022.3206326","DOIUrl":"10.1109/OJCAS.2022.3206326","url":null,"abstract":"A nW-level BJT-based bandgap reference with fine grained voltage and temperature coefficient trimming is presented. The bandgap reference utilizes switched capacitors (SC) as impedance elements instead of resistors in a current mode configuration. This configuration enabled low power (38nW) with a minimal area (0.0174 mm2). The voltage could be trimmed independently without affecting the temperature coefficient. The SC’s are stacked in order to achieve accurate trimming without using unrealistically small capacitors. The temperature coefficient can be trimmed between 50-200 ppm/°C in either direction, while the voltage can be trimmed between 580-800mV.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9888150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62853774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The routing congestion over a QC-LDPC decoder with a large circular permutation matrix (CPM) size has long been an obstacle to high throughput designs. This paper presents a large-CPM congestion-free decoder for (18396, 16416) quasi-cyclic Euclidean geometry low-density parity-check (QC-EG-LDPC) code in NAND flash application. Considering area efficiency in scheduling schemes and the array dispersion structure, the Array-Disperse Based Dual Variable Node Unit (VNU) Cluster Architecture fully leverages the code structure to support at least two physical channels of the Open NAND Flash Interface 5.0 (ONFI 5.0). In addition, the proposed congestion-aware analysis and implementation method achieve a highly parallel decoder at a 70% utilization ratio. Implemented in TSMC 28nm process, the presented decoder provides 38.64 Gbps throughput at RBER=1.456% Bi-AWGN channel with an area of 2.97 mm2.
{"title":"A 38.64-Gb/s Large-CPM 2-KB LDPC Decoder Implementation for nand Flash Memories","authors":"Li-Wei Liu;Mu-Hua Yuan;Yen-Chin Liao;Hsie-Chia Chang","doi":"10.1109/OJCAS.2022.3203849","DOIUrl":"10.1109/OJCAS.2022.3203849","url":null,"abstract":"The routing congestion over a QC-LDPC decoder with a large circular permutation matrix (CPM) size has long been an obstacle to high throughput designs. This paper presents a large-CPM congestion-free decoder for (18396, 16416) quasi-cyclic Euclidean geometry low-density parity-check (QC-EG-LDPC) code in NAND flash application. Considering area efficiency in scheduling schemes and the array dispersion structure, the Array-Disperse Based Dual Variable Node Unit (VNU) Cluster Architecture fully leverages the code structure to support at least two physical channels of the Open NAND Flash Interface 5.0 (ONFI 5.0). In addition, the proposed congestion-aware analysis and implementation method achieve a highly parallel decoder at a 70% utilization ratio. Implemented in TSMC 28nm process, the presented decoder provides 38.64 Gbps throughput at RBER=1.456% Bi-AWGN channel with an area of 2.97 mm2.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9874844","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62853935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-09DOI: 10.1109/OJCAS.2022.3197333
Jeremy Cosson-Martin;Hossein Shakiba;Ali Sheikholeslami
This paper proposes an efficient multi-carrier system that combines filter-bank multi-carrier signalling, decision-directed channel estimation, and frequency-domain timing recovery to eliminate the overhead associated with cyclic prefix, large side-lobes, and pilot carriers. Furthermore, a technique is proposed to halve the required number of FFTs (IFFTs), reducing their complexity by 29% for a 32-point resolution; a method is proposed to correct tilt and stretch distortion; and a gain controller with adaptive loop coefficients is adopted to achieve the same stability but 65% higher tracking bandwidth regardless of the FFT size. The concept is validated at the system level, where impairments are applied, enabling an in-depth comparison to conventional discrete multi-tone signalling. Assuming a 32-point FFT, a $35dB$