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Deconvolution beamforming based on a fast gradient algorithm for sound source localization

JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2023年第2期42卷 703-718页

作者： Zan, Ming Xu, Zhongming Zhang, Zhifei Tang, Zhonghua Huang, Linsen Chongqing Univ Coll Mech & Vehicle Engn 74 Shazheng St Chongqing 400030 Peoples R China

Deconvolution beamforming has gotten increased attention as a way to improve the spatial resolution of delay-and-sum beamforming. It has the ability to decrease sidelobes and increase resolution. However, compared to conventional beamforming, the extra computation of the deconvolution method is a drawback. A more efficient approach is developed to improve the computing speed of the deconvolution method. Specifically, when tackling deconvolution problems, this method improves computational performance by combining Fourier operation with a fast gradient algorithm called the double momentum gradient algorithm. We compare the proposed method with two known effective deconvolution methods, namely the fast Fourier transform non-negative least squares algorithm and the fast iterative shrinkage threshold algorithm. The results of simulation and experiment reveal that the proposed method tends to give a better spatial resolution within a short computational time and is more suitable for engineering applications.

关键词： sound localization beamforming deconvolution Fourier gradient algorithm

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A complex adaptive notch filter using modified gradient algorithm

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SIGNAL PROCESSING 2012年第6期92卷 1508-1514页

作者： Nosan, A. Punchalard, R. Mahanakorn Univ Technol Dept Telecommun Engn Bangkok 10530 Thailand

A modified gradient algorithm is developed for improving the convergence speed of a first-order complex adaptive IIR notch filter, which is used for estimating an unknown frequency of a complex sinusoidal signal embedded in white Gaussian noise. The new cost function using new error criterion is presented and analyzed theoretically. The proposed technique can significantly improve the convergence speed as compared with a complex notch filter using plain gradient algorithm. The computer simulations are conducted to demonstrate the validity of the proposed complex adaptive notch filter. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Complex notch filter New error criterion gradient algorithm

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A STABLE gradient algorithm OF ADAPTATION USING AN OUTPUT SIGNAL

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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 1992年第3期6卷 265-269页

作者： NIKIFOROV, VO ST PETERSBURG FINE MECH & OPT INST DEPT AUTOMAT & REMOTE CONTROL 197101 ST PETERSBURG USSR

This paper studies the adaptation law design problem for a linear error model with a scalar output signal. The proposed gradient algorithm of adaptation allows one to provide asymptotic stability of a closed adaptive system without the necessity of error model positivity. The basis of the design is similar to that of Monopoli, who proposed using an additional signal proportional to the speed of parameter adjustment. Relationships of the algorithm and previous ones (the MIT-rule and Narendra's et al. one) and its employment for a time-variant error model are briefly discussed.

关键词： ADAPTATION LAW gradient algorithm ERROR MODEL ASYMPTOTIC STABILITY

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Fast optimal wavefront reconstruction for multi-conjugate adaptive optics using the Fourier domain preconditioned conjugate gradient algorithm

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OPTICS EXPRESS 2006年第17期14卷 7487-7498页

作者： Vogel, Curtis R. Yang, Qiang Montana State Univ Dept Math Sci Bozeman MT 59717 USA

We present two different implementations of the Fourier domain preconditioned conjugate gradient algorithm (FD-PCG) to efficiently solve the large structured linear systems that arise in optimal volume turbulence estimation, or tomography, for multi-conjugate adaptive optics (MCAO). We describe how to deal with several critical technical issues, including the cone coordinate transformation problem and sensor subaperture grid spacing. We also extend the FD-PCG approach to handle the deformable mirror fitting problem for MCAO. (c) 2006 Optical Society of America

关键词： .preconditioned conjugate ciently transformation Fourier domain cone wavefront gradient algorithm FD-PCG MCAO sensor subaperture

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Comparison of the L1-magic and the gradient algorithm for Sparse Signals Reconstruction 22

Comparison of the L1-magic and the Gradient Algorithm for Sp...

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22nd Telecommunications Forum Telfor (TELFOR)

作者： Vujovic, Stefan Dakovic, Milos Stankovic, Ljubisa Elektrotehnicki Fak Dzordza Vasingtona Bb Podgorica 81000 Montenegro

ISBN: (纸本)9781479961917

Reconstruction of the sparse signals, performed by two algorithms which belongs to the class of convex optimization algorithms, is considered in this paper. Widely used algorithm implemented by the l(1)-magic code packet is used as the first algorithm. Its realization is based on the primal dual interior point algorithm for convex optimization. The second considered algorithm also belongs to the convex optimization group of algorithms. It is a recently proposed adaptive step gradient-based algorithm. The reconstruction of missing data is based on the direct adaptation of the signal values by minimizing the concentration/sparsity measure of the signal in the transformation domain, where the signal is sparse. Comparison of these two algorithms is done here.

关键词： Compressive sensing gradient algorithm l(1-)magic Sparse reconstruction Sparse signals

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Processing parameters optimization algorithm design and verification of suppress subsurface damage based on gradient algorithm

Processing parameters optimization algorithm design and veri...

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Applied Optics and Photonics China (AOPC) Conference - Optics Ultra Precision Manufacturing and Testing

作者： Lin Donglong Yang Baoxi Huang Huijie Xing Yan Zhang Chiliang Chinese Acad Sci Shanghai Inst Opt & Fine Mech Shanghai 201800 Peoples R China Univ Chinese Acad Sci Ctr Mat Sci & Optoelect Engn Beijing 100049 Peoples R China Changchun Natl Extreme Precis Opt Co Ltd Shanghai Branch Shanghai 201800 Peoples R China

ISBN: (纸本)9781510639584

Subsurface damage (SSD) of fused silica elements formed by grinding and polishing will produce high-energy laser modulation and absorption effects. Further induced macro damage will seriously decrease the precision of the optical system and shorten the service life of the optical element. Because of the limit of the optical manufacturing technology, cost, and other reasons, it is hard to grinding and polishing without generating SSD. Thus, efficiently suppress the depth of SSD becomes an important research direction to further enhance the accuracy of the optical system. We use the equations for median and lateral cracks depths to predict the depth of SSD and surface roughness (P -V value). The equations are derived by Lambropoulos from micro indentation mechanics and hill model for indentation of a sharp indenter. The lateral cracks theory and the measurement data on the high-precision roughness measuring instrument are used to solving and verify the grinding empirical formula. This can effectively solve the problems of detecting indentation normal load during process. The empirical formula is then combined with the equations for median and lateral cracks depths to establish an optimization model. With this model, we design an optimization algorithm to optimize the parameters of process to suppress the depth of SSD. gradient algorithm is used to optimize the parameters of the whole process, and design a high efficiency fused silica process solution to obtain a minimal depth of SSD and high-precision surface. The above algorithm has certain universality for different processing machines, materials, and processing conditions. Change the material parameters and constraints can quickly obtain the corresponding processing parameters.

关键词： Subsurface damage Surface roughness gradient algorithm Fused silica

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An Architecture for Hardware Realization of Compressive Sensing gradient algorithm 4

An Architecture for Hardware Realization of Compressive Sens...

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4th Mediterranean Conference on Embedded Computing (MECO

作者： Vujovic, Stefan Dakovic, Milos Orovic, Irena Stankovic, Srdjan Univ Montenegro Fac Elect Engn Podgorica Montenegro

ISBN: (纸本)9781479989997

An architecture for hardware realization of the gradient algorithm for sparse signal reconstruction is proposed. gradient algorithm is recently proposed and generally belongs to convex optimization class of algorithms. It is an iterative algorithm where missing samples are reconstructed by using a procedure of gradient-based concentration improvement. The proposed scheme assumes that sparse domain of signal is Discrete Fourier domain. It is interesting to note that this algorithm performs well even in the case of almost sparse signals. The proposed architecture could be modified easily for other transform domains. The scheme is composed of blocks that are suitable for FPGA implementation. Finally, this architecture gives a much deeper insight into the algorithm providing better understanding of this algorithm, which will facilitate its applications.

关键词： Compressive sensing gradient algorithm hardware realization signal reconstruction

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A Beam-forming Method based on Constant Modulus algorithm combined with gradient algorithm 4

A Beam-forming Method based on Constant Modulus Algorithm co...

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IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Jin, Shazhou Zhang, Yong Yan, Danqing Zhang, Zhongjin He, Lufei Second Res Inst CAAC Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538653739

Focusing on the problem that tracking performance of constant modulus algorithm(CMA) will decrease dramatically in strong interference environment, a beam-forming method based on constant modulus algorithm combined with gradient algorithm is proposed. Based on application of smart antenna, the characteristics of this method are analysed. Finally the applicability of combined method is verified by computer simulation with an example of four element uniform linear array.

关键词： beam-forming constant modulus algorithm gradient algorithm smart antenna

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Solution of the problem of coverage by a gradient algorithm

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Cybernetics 1976年第4期12卷 584-587页

作者： Chernyshev, Yu.O. Nasekin, V.Ya.

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Identification of Added Mass and Added Damping Coefficient for an Underwater Shaking Table Based on gradient algorithm 31

Identification of Added Mass and Added Damping Coefficient f...

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31st Chinese Control And Decision Conference (CCDC)

作者： Yao, Jianjun Zhao, Yue Sheng, Tang Qian, Chen Mai, Wangeng Harbin Engn Univ Harbin 150001 Peoples R China

ISBN: (纸本)9781728101057

The underwater shaking table, the key experimental facility for underwater vibration simulation, is used to test the underwater seismic behaviors and vibration characteristics of the underwater equipment such as underwater civil engineering structures and the submarine production system. However, unlike the normal electro-hydraulic servo shaking table, the special working environment of the underwater shaking table brings many difficulties to its design. One of the key issues is that the added mass and the added damping coefficient caused by the fluid-solid coupling problem between the shaking table and the fluid should be considered. These will reduce the bandwidth of the system and low er the system stability to a great extent. In this paper, the FLUENT software and the dynamic meshing technology are applied to establish the finite element model of the underwater shaking table and its fluid domain. Finally, the added mass and the added damping coefficient of the underwater shaking table are identified by using the gradient algorithm. The simulation results show that both the added mass and the added damping coefficient are precisely identified.

关键词： Underwater Shaking Table Added Mass Identification Added Damping Coefficient Identification gradient algorithm Fluid-Solid Coupling

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