In allusion to the multi-channel adaptive filtering feedforward control demand of structure vibration, this article focuses on the real-time identification method and experimental research of controlled channel in ada...
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ISBN:
(纸本)9787506292207
In allusion to the multi-channel adaptive filtering feedforward control demand of structure vibration, this article focuses on the real-time identification method and experimental research of controlled channel in adaptive feedforward control, by taking flexible piezoelectric smart structure as test's model. Minimum square algorithm is used unified in real-time identification and control issues, also the channel model identification methods and the implementation of structural plans are given;A control system, including PC and monitoring template(including vc33dsp), is used in the controlled channel model's real-time identification;In this foundation, active vibration control test of piezoelectric smart structure is carried out, and the good results indicate that the controlled channel model's identification method is correct and feasible.
In power systems the primary requirement is to find a rigorous approach to suppress the harmonics and ultimately extract the fundamental frequency component. The method presented enables the FIR filter design satisfyi...
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ISBN:
(纸本)9781424424085
In power systems the primary requirement is to find a rigorous approach to suppress the harmonics and ultimately extract the fundamental frequency component. The method presented enables the FIR filter design satisfying specific frequency characteristics with auxiliary constraints. The job of design is converted to an optimization problem with the constraint using standard mean square criterion. The strategy behind detection is to optimize the destined constraint function and to minimize the mean square error. The performance of the advised technique is compared with that of lms and linear optimal filters. Experimental results both in ideal and noisy condition associated with the three methods are given.
In this paper, a Digital Signal Processing (DSP) control system which is used in the multiple degree-of-freedom (DOF) giant magnetostrictive smart structure (GMSS) is proposed. The control system includes two parts - ...
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ISBN:
(纸本)9781424425020
In this paper, a Digital Signal Processing (DSP) control system which is used in the multiple degree-of-freedom (DOF) giant magnetostrictive smart structure (GMSS) is proposed. The control system includes two parts - DSP Card and analog circuit through which DSP Card can get the detection signal and output control signal to giant magnetostrictive actuator (GMA). A adaptive least mean-square (lms) control algorithm is embedded in DSP Card's Flash Memory for controlling GMSS to weaken the micro-vibration outside. Work flow and control approach of the GMSS with the DSP control system are introduced. The experiment results indicate that the DSP control system in this paper has better control precision and real-time property, and the damping effect is up to 20-30 dB.
This paper aims at characters of aerospace flexible structure vibration response such as light dump, multimode and low natural frequency, and focuses on adaptive vibration control algorithm and actualization solution ...
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ISBN:
(纸本)9787506292207
This paper aims at characters of aerospace flexible structure vibration response such as light dump, multimode and low natural frequency, and focuses on adaptive vibration control algorithm and actualization solution for piezoelectric smart flexible structure. Multichannel (MIMO) adaptive filter feedforward method is used for active vibration control of the model structure with distributed-embedded piezoelectric observe and control network. Experimental process is performed on a DSP system, achieves active vibration restraint at multi-order natural resonance frequencies. The result shows it is effective to restrain structural vibration response using the algorithm and experimental system of this paper. The anti-interference also tests well.
One of the classical signal processing problems is the distortion of transmitted signal by the channel before reaching the receiver. Channel Equalization is the solution for the so called problem. It has got a variety...
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ISBN:
(纸本)9781424423149
One of the classical signal processing problems is the distortion of transmitted signal by the channel before reaching the receiver. Channel Equalization is the solution for the so called problem. It has got a variety of solutions in the sense that the equalizer can be trained using different algorithms. In this paper besides the two standard adaptive algorithms lms-Least Mean Square algorithm and RLS-Recursive Least Square algorithm, biologically inspired evolutionary computing tools like Standard Genetic algorithm and Particle Swarm Optimization are adopted for channel equalization problem and the consequences are thoroughly studied under the headings convergence-rate, computational complexity, processing time etc..
A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and...
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ISBN:
(纸本)9781424421787
A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and controlled by fourth order statistics, whereas the coefficient update retains a conventional least mean square (lms) form. As will be seen in the simulation results, the proposed algorithm has a faster convergence rate as compared with an existing variable tap-length lms algorithm which is based only on second order statistics in sub-Gaussian noise environments.
MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of ch...
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ISBN:
(纸本)9781424416448
MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of channel autocorrelation matrix as transmit and receive weights. As a method to find these eigenvectors, eigenvalue decomposition or singular value decomposition (SVD) are generally well-known. In this paper, we propose a least mean square (lms) based algorithm to find the transmit and receive weights without significant increase of computational complexity for E-MIMO system. Computer simulation shows that the proposed algorithm gives almost the same performance as that of SVD.
In order to get whole shape of an object,lots of parts of 3D images need to be captured from multiple views and aligned into a same 3D *** usually involves in both complex software process and expensive hardware system.
In order to get whole shape of an object,lots of parts of 3D images need to be captured from multiple views and aligned into a same 3D *** usually involves in both complex software process and expensive hardware system.
A novel multi-microphone speech enhancement method with low computational complexity using the Generalized Sidelobe Canceller (GSC) structure based on lms (least mean square) algorithm is proposed under stationary noi...
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A novel multi-microphone speech enhancement method with low computational complexity using the Generalized Sidelobe Canceller (GSC) structure based on lms (least mean square) algorithm is proposed under stationary noise condition. In adaptive module of the presented method, speech signals in one frame share the same weight and update simultaneously instead of calculating weights respectively. Experimental results show that, in stationary noise environment, the proposed method which employs modified lms algorithm outperforms conventional lms algorithms in noise reduction, while the computational cost is lower, compared with conventional ones.
In allusion to the multi-channel adaptive filtering feedforward control demand of structure vibration,this article focuses on the real-time identification method and experimental research of controlled channel in adap...
详细信息
In allusion to the multi-channel adaptive filtering feedforward control demand of structure vibration,this article focuses on the real-time identification method and experimental research of controlled channel in adaptive feedforward control, by taking flexible piezoelectric smart structure as test's model. Minimum square algorithm is used unified in real-time identification and control issues,also the channel model identification methods and the implementation of structural plans are given;A control system,including PC and monitoring template(including vc33dsp),is used in the controlled channel model's real-time identification;In this foundation,active vibration control test of piezoelectric smart structure is carried out,and the good results indicate that the controlled channel model's identification method is correct and feasible.
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