Multidimensional Systems and Signal Processing最新文献

CQCNN-SV algorithm for wideband space–time adaptive processing 用于宽带时空自适应处理的 CQCNN-SV 算法

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-08-29 DOI: 10.1007/s11045-024-00892-4

Ruiyan Du, Xiaodan Chen, Guangyu Meng, Liwen Feng, Yajie Gao, Fulai Liu

{"title":"CQCNN-SV algorithm for wideband space–time adaptive processing","authors":"Ruiyan Du, Xiaodan Chen, Guangyu Meng, Liwen Feng, Yajie Gao, Fulai Liu","doi":"10.1007/s11045-024-00892-4","DOIUrl":"https://doi.org/10.1007/s11045-024-00892-4","url":null,"abstract":"This paper presents a wideband robust beamforming algorithm based on a complex quantized convolutional neural network (CQCNN) for solving the steering vector (SV) mismatch problem, named as CQCNN-SV algorithm. Firstly, the CQCNN is constructed by the complex convolution layers, quantization assistance layers, and normalization layers, respectively. Specially, the network channel filtering threshold function is used to construct the quantization assistance layer with the functions of network weight pruning. The CQCNN structure is suitable for wideband beamforming in space–time two-dimensional signal processing, which can improve the feature extraction ability and convergence speed of complex-valued data. Subsequently, the mismatched desired signal SV is corrected by solving the quadratic programming problem, and the corrected SV is treated as the training label. Finally, the space–time two-dimensional covariance matrix and the training label are fed into the CQCNN model. The wideband beamforming weight vector in the space–time antenna structure is given by the desired signal SV, which is predicted by the well-trained CQCNN. Theoretical analysis and simulation experiments show that the proposed algorithm not only has good real-time performance but also has stable system output performance.\u0000","PeriodicalId":19030,"journal":{"name":"Multidimensional Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

An improved hybrid fusion of noisy medical images using differential evolution-based artificial rabbits optimization algorithm 使用基于差分进化的人工兔子优化算法改进噪声医学图像的混合融合

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-06-21 DOI: 10.1007/s11045-024-00889-z

Niladri Shekhar Mishra, Supriya Dhabal

{"title":"An improved hybrid fusion of noisy medical images using differential evolution-based artificial rabbits optimization algorithm","authors":"Niladri Shekhar Mishra, Supriya Dhabal","doi":"10.1007/s11045-024-00889-z","DOIUrl":"https://doi.org/10.1007/s11045-024-00889-z","url":null,"abstract":"This article investigates the problem of removing noise from multi-modal medical images to ensure efficient Medical Image Fusion (MIF). The proposed MIF achieves optimal results with a novel hybrid image fusion scheme. This scheme is achieved with an improved performance of the Artificial Rabbits Optimization (ARO) algorithm and a novel cascaded combination of filters. The exploring mechanism of the classical ARO algorithm is enriched by incorporating the approaches adopted in Differential Evolution and thus termed Differential Evolution-based Artificial Rabbits Optimization (DEARO). The effectiveness of the novel DEARO algorithm is proven through the testing of the CEC 2017 benchmark functions and it is noticed that the proposed approach offers superior solutions than existing optimization algorithms. Ten image fusion quality evaluation metrics are compared to demonstrate the performance of the proposed approach. Considering Mutual Information (MI), the proposed method exhibits (40%) average improvements in the fusion of clean images. Similarly, (50%), (36%), and (21%) improvements are noticed in MI values when both the modalities of source images are contaminated with Gaussian, Salt & Pepper, and Speckle noises of variance 0.1. The qualitative evaluation of the fused image shows the advancement of the proposed scheme in multi-modal MIF compared to the contemporary approaches.","PeriodicalId":19030,"journal":{"name":"Multidimensional Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Compressive sensing imaging with periodic perturbation induced caustic lens masks in a ripple tank 利用波纹槽中的周期性扰动诱导苛性透镜掩膜进行压缩传感成像

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-06-17 DOI: 10.1007/s11045-024-00890-6

Doğan Tunca Arık, Asaf Behzat Şahin, Özgün Ersoy

{"title":"Compressive sensing imaging with periodic perturbation induced caustic lens masks in a ripple tank","authors":"Doğan Tunca Arık, Asaf Behzat Şahin, Özgün Ersoy","doi":"10.1007/s11045-024-00890-6","DOIUrl":"https://doi.org/10.1007/s11045-024-00890-6","url":null,"abstract":"Terahertz imaging presents immense potential across many fields but the affordability of multiple-pixel imaging equipment remains a challenge for many researchers. To address this, the adoption of single-pixel imaging emerges as a lower-cost option, however, the data acquisition process necessary for reconstructing images is time-intensive. Compressive Sensing, which allows for generation of images using a reduced number of measurements than Nyquist's theorem demands, presents a promising solution but long processing times are still issue particularly large-sized images. Our proposed solution to this issue involves using caustic lens effect induced by perturbations in a ripple tank as a sampling mask. The dynamic nature of the ripple tank introduces randomness into the sampling process and this reduces measurement time by exploiting the inherent sparsity of THz band signals. This work employed Convolutional Neural Network to perform target classification based on the distinct signal patterns acquired through the caustic lens mask. The proposed classifier achieved 99.22% accuracy rate in distinguishing targets shaped like Latin letters. The controlled randomness introduced by the caustic lens mask is believed to play a crucial role in achieving this high accuracy by mitigating overfitting, a common challenge in machine learning.","PeriodicalId":19030,"journal":{"name":"Multidimensional Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Design and implementation of power and area efficient architectures of circular symmetry 2-D FIR filters using CSOA-based CSD 利用基于 CSOA 的 CSD，设计并实现功率和面积高效的圆形对称 2-D FIR 滤波器架构

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-05-13 DOI: 10.1007/s11045-024-00887-1

V. Srilatha Reddy, A. Vimala Juliet, Esther Rani Thuraka, Venkata Krishna Odugu

{"title":"Design and implementation of power and area efficient architectures of circular symmetry 2-D FIR filters using CSOA-based CSD","authors":"V. Srilatha Reddy, A. Vimala Juliet, Esther Rani Thuraka, Venkata Krishna Odugu","doi":"10.1007/s11045-024-00887-1","DOIUrl":"https://doi.org/10.1007/s11045-024-00887-1","url":null,"abstract":"An efficient 2-D Finite Impulse Response (FIR) filter is designed using modified McClellan transformations with optimized coefficients. The P3 transformation is considered to attain sharp circular symmetry filters to reduce the complexity of the architecture of the 2-D FIR filter. The filter coefficients are represented in Canonical Signed Digit (CSD) space to construct the filter architecture by multiplierless design. The CSD representation is optimized using the Cuckoo Search Algorithm (CSA) with fitness function Mean Square Error (MSE). Further, a Fully Direct (FD) type architecture of a 2-D FIR filter is implemented according to the obtained CSD-based coefficients for the length of (Ntimes N =11 times 11). Each row filter structure is realized and explored. All the hardware structures of row filters were realized and integrated using Verilog HDL and synthesized by Genus tools provided by the CADENCE Vendor in a 45 nm CMOS generic library. The area, delay, and power reports are generated by this synthesis tool and compared with the existing 2-D FIR filter architectures. The area, power, and delay values of the proposed filter architecture are decreased by 28.9%, 49.59%, and 36.02%, respectively to the conventional filter architecture. The Power-Delay-Product (PDP) and Area-Delay-Product (ADP) values of the proposed filter architecture are reduced by a minimum of 2.14 and 1.96 times, and a maximum of 4.31 and 66 times to the existing filter architectures respectively.","PeriodicalId":19030,"journal":{"name":"Multidimensional Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140939686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Novel two-dimensional Wigner distribution and ambiguity function in the framework of the two-dimensional nonseparable linear canonical transform 二维不可分割线性典范变换框架下的新型二维维格纳分布和模糊函数

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-04-29 DOI: 10.1007/s11045-024-00886-2

Lai Tien Minh

引用次数: 0

A constructive design of state observer synthesis for 2-D continuous systems with time-varying delays 具有时变延迟的二维连续系统状态观测器合成的构造设计

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2024-03-11 DOI: 10.1007/s11045-024-00885-3

Chakir El-Kasri, Mohammed Alfidi

引用次数: 0

A real-time surveillance system with multi-object tracking 多目标跟踪实时监控系统

4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2023-10-04 DOI: 10.1007/s11045-023-00883-x

Tsung-Han Tsai, Ching-Chin Yang

引用次数: 0

Fetal head biometrics measurements using convolutional neural network and mid-point ellipse drawing algorithm 基于卷积神经网络和中点椭圆绘制算法的胎儿头部生物特征测量

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2023-08-17 DOI: 10.1007/s11045-023-00882-y

P. Nisha Priya, S. Anila

引用次数: 0

A tensor-based approach for frequency-selective MIMO channel equalization 一种基于张量的频率选择性MIMO信道均衡方法

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2023-08-15 DOI: 10.1007/s11045-023-00884-w

Batool Forghany, Iman Ahadi Akhlaghi

引用次数: 0

Solving a one-dimensional moving boundary problem based on wave digital principles 基于波数原理求解一维运动边界问题

IF 2.5 4区工程技术

Multidimensional Systems and Signal Processing Pub Date : 2023-07-24 DOI: 10.1007/s11045-023-00881-z

Bakr Al Beattie, K. Ochs

引用次数: 0