Circuits, Systems and Signal Processing最新文献_第8页

Two-Step Single-Slope ADC Utilizing Differential Ramps for CMOS Image Sensors 利用差分斜坡的两步式单斜坡 ADC，适用于 CMOS 图像传感器

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-18 DOI: 10.1007/s00034-024-02767-2

Dongxing Fang, Kaiming Nie, Ziyang Zhang, Jiangtao Xu

引用次数: 0

Accelerated Simulation of Passive Analog Circuits Over GPU Using Explicit Integration Methods 利用显式积分法在 GPU 上加速模拟无源模拟电路

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-16 DOI: 10.1007/s00034-024-02780-5

Ginés Doménech-Asensi, Tom J. Kazmierski

{"title":"Accelerated Simulation of Passive Analog Circuits Over GPU Using Explicit Integration Methods","authors":"Ginés Doménech-Asensi, Tom J. Kazmierski","doi":"10.1007/s00034-024-02780-5","DOIUrl":"https://doi.org/10.1007/s00034-024-02780-5","url":null,"abstract":"Analog circuits composed by large number of nodes in a tightly coupled structure pose significant challenges due to their prohibitive CPU simulation time. This work describes a method to speed up the simulation of such circuits by means of the combination of space state formulation of circuit equations with explicit integration methods parallelized over a many-core processor such as a GPU. Although stability of explicit techniques require smaller integration steps compared to implicit methods, the proposed method employs a fast estimate of the maximum allowed step size to guarantee numerical stability, which yields a shorter simulation time for increasing complexity circuit architectures. Moreover, the proposed technique can be straightforward parallelized on a many core architecture. The proposed method is demonstrated with two examples using constant and variable coefficients respectively: an RLC interconnect and a MOS-C network to perform Gaussian filtering of medium resolution images. The results obtained have been compared to a parallel version of SPICE and show improvements up to two orders of magnitude for transient simulations depending of the circuit size.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":"74 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141719755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polar Logic XOR/XNOR Circuits Using a Single Current Conveyor 使用单电流传输器的极性逻辑 XOR/XNOR 电路

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-12 DOI: 10.1007/s00034-024-02768-1

Sudhanshu Maheshwari

引用次数: 0

Finite-Time $$H_infty $$ Control for Time-Delayed Markovian Jump Nonlinear Systems with Parameter Uncertainties and Generally Uncertain Transition Rates 具有参数不确定性和一般不确定性转换率的时延马尔可夫跃迁非线性系统的有限时间 $$H_infty $$ 控制

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-08 DOI: 10.1007/s00034-024-02782-3

Chenyang Jiao, Juan Zhou

引用次数: 0

Premature Infant Cry Classification via Elephant Herding Optimized Convolutional Gated Recurrent Neural Network 通过大象放牧优化卷积门控递归神经网络进行早产儿哭声分类

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-04 DOI: 10.1007/s00034-024-02764-5

V. Vaishnavi, M. Braveen, N. Muthukumaran, P. Poonkodi

{"title":"Premature Infant Cry Classification via Elephant Herding Optimized Convolutional Gated Recurrent Neural Network","authors":"V. Vaishnavi, M. Braveen, N. Muthukumaran, P. Poonkodi","doi":"10.1007/s00034-024-02764-5","DOIUrl":"https://doi.org/10.1007/s00034-024-02764-5","url":null,"abstract":"Premature babies scream to make contact with their mothers or other people. Infants communicate via their screams in different ways based on the motivation behind their cries. A considerable amount of work and focus is required these days to preprocess, extract features, and classify audio signals. This research aims to propose a novel Elephant Herding Optimized Deep Convolutional Gated Recurrent Neural Network (EHO-DCGR net) for classifying cry signals from premature babies. Cry signals are first preprocessed to remove distortion caused by short sample times. MFCC (Mel-frequency cepstral coefficient), Power Normalized Cepstral Coefficients (PNCC), BFCC (Bark-frequency cepstral coefficient), and LPCC (Linear Prediction cepstral coefficient) are used to identify abnormal weeping through their prosodic aspects. The Elephant Herding optimization (EHO) algorithm is utilized for choosing the best features from the extracted set to form a fused feature matrix. These characteristics are then used to categorize premature baby cry sounds using the DCGR net. The proposed EHO-DCGR net effectiveness is measured by precision, specificity, recall, and F1-score, accuracy. According to experimental fallouts, the proposed EHO-DCGR net detects baby cry signals with an astounding 98.45% classification accuracy. From the experimental analysis, the EHO-DCGR Net increases the overall accuracy by 12.64%, 3.18%, 9.71% and 3.50% better than MFCC-SVM, DFFNN, SVM-RBF and SGDM respectively.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":"40 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Regional Language Speech Recognition from Bone Conducted Speech Signals Through CCWT Algorithm 通过 CCWT 算法从骨传导语音信号识别地区语言语音

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-04 DOI: 10.1007/s00034-024-02733-y

Venkata Subbaiah Putta, A. Selwin Mich Priyadharson

{"title":"Regional Language Speech Recognition from Bone Conducted Speech Signals Through CCWT Algorithm","authors":"Venkata Subbaiah Putta, A. Selwin Mich Priyadharson","doi":"10.1007/s00034-024-02733-y","DOIUrl":"https://doi.org/10.1007/s00034-024-02733-y","url":null,"abstract":"Speech enhancement, or SE, is a method of converting an input speech signal into a target signal with improved quality of voice and readability. To hear the voice, the skeleton bone vibrates ultra smooth thanks to bone conduction. The benefits of Bone-Conducted Microphone (BCM) speech include noise reduction and enhanced communication quality in high-noise environments. To acquire signals and precisely model word phonemes, BCM relies on the placement of bones. Certain computer techniques are expensive and ineffective in simulating signal phonemes. Three wavelet transform techniques are presented in this work: complex continuous wavelet transforms (CCWT), steady wavelet transforms (SWT), and discrete wavelet transforms (DWT). The right ramp, the voice box, and the mastoid were the three distinct bony locations for which the speech intelligibility of the BCM signal was evaluated. The listener evaluated the comprehension of the speech after obtaining the BCM signal for Tamil words. Speech quality is enhanced by the location of the larynx bone in comparison to alternative calculation methods.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":"12 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Underdetermined Blind Separation Using Cross Third-Order Cumulant and Tensor Decomposition 利用交叉三阶累积量和张量分解进行联合欠定盲分选

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-04 DOI: 10.1007/s00034-024-02757-4

Weilin Luo, Xiaobai Li, Hao Li, Hongbin Jin, Ruijuan Yang

{"title":"Joint Underdetermined Blind Separation Using Cross Third-Order Cumulant and Tensor Decomposition","authors":"Weilin Luo, Xiaobai Li, Hao Li, Hongbin Jin, Ruijuan Yang","doi":"10.1007/s00034-024-02757-4","DOIUrl":"https://doi.org/10.1007/s00034-024-02757-4","url":null,"abstract":"To address the issues of poor anti-noise performance of second-order statistics and low estimation accuracy in previous joint underdetermined blind source separation (JUBSS) methods, we propose a novel JUBSS method based on the dependence between different data sets and the advantages of cross third-order cumulant in resisting distributed noise. The method involves several steps. Firstly, we calculate the cross third-order cumulant of multiple whitening data sets with different delays. Then, we stack several third-order cumulants into fourth-order tensors. Next, we decompose the fourth-order tensor using Canonical Polyadic through weight nonlinear least squares, which allows us to estimate the mixed matrix. Finally, depending on the independence of source signals, we propose a matrix diagonalization method to recover the source signal. Experiments demonstrate that the method effectively suppresses the influence of Gaussian noise and performs well in underdetermined, positive and overdetermined cases and produces a better performance than various common approaches. Specifically, for the 3 × 4 mixed model with signal-to-noise ratio of 20 dB, the average relative error is − 14.48 dB, the average similarity coefficient is 0.92 and the signal-to-interference ratio is 24.84 dB.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":"29 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introducing Gain Constant Adjustment Facility in a Class of Single OA Circuits 在一类单 OA 电路中引入增益常数调整功能

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-04 DOI: 10.1007/s00034-024-02763-6

T. S. Rathore

引用次数: 0

Approximate Floating Point Precise Carry Prediction Adder for FIR Filter Applications 用于 FIR 滤波器应用的近似浮点精确进位预测加法器

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-06-29 DOI: 10.1007/s00034-024-02760-9

C. Sridhar, Aniruddha Kanhe

{"title":"Approximate Floating Point Precise Carry Prediction Adder for FIR Filter Applications","authors":"C. Sridhar, Aniruddha Kanhe","doi":"10.1007/s00034-024-02760-9","DOIUrl":"https://doi.org/10.1007/s00034-024-02760-9","url":null,"abstract":"Approximate computing plays a crucial role in faster operation for large-scale data computation in error-resilient applications. An approximate adder is a digital circuit that performs addition with less accuracy to achieve faster processing time and lower hardware overhead. This approach is well suited for error-tolerant applications where minor errors in the output are acceptable. In this paper, an approximate carry prediction adder (ACPA) is proposed to add the mantissa in a 32-bit single precision floating point adder, termed as approximate floating point precise carry prediction adder (AFPCPA). The proposed ACPA utilizes a carry prediction circuit to generate a precise carry for the precise part leading to an increase in accuracy. The error characteristics and hardware utilization of AFPCPA and other existing approximate adder architectures are compared. The results show that the proposed AFPCPA vide, on average, 50.56%, 59.66%, 56.13%, and 81.40% reduction in standard deviation, mean absolute error, normalized mean error distance, and mean square error, respectively. In addition, the proposed AFPCPA shows on average, 18.97% and 6.68% lesser hardware utilization and delay, respectively compared to existing approximate adder architectures and accurate adder. Finally, a 3-tap FIR Filter is designed using the proposed AFPCPA and compared with existing architectures.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":"16 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Way Active Contour Model for Incomplete Contour Segmentation 用于不完整轮廓分割的双向主动轮廓模型

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-06-29 DOI: 10.1007/s00034-024-02754-7

Ming Deng, Zhiheng Zhou, Mingyue Zhang, Guoqi Liu, Delu Zeng

引用次数: 0