A bibliography on nonlinear system identification
Signal Processing - Special section on digital signal processing for multimedia communications and services
Fundamentals of Wavelets: Theory, Algorithms, and Applications
Fundamentals of Wavelets: Theory, Algorithms, and Applications
Communication channel identification in frequency domain based on the Volterra model
ICANCM'11/ICDCC'11 Proceedings of the 2011 international conference on applied, numerical and computational mathematics, and Proceedings of the 2011 international conference on Computers, digital communications and computing
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The development of the efficient technique of the experimental research of the continuous communication channel for amplitude-frequency characteristics (AFC) identification is given. The given technique is Volterra model based and founded on the application of the modified approximating method of identification of the nonlinear dynamic system in frequency domain. The identification is carried out by means of compiling the linear combinations of the responses from researched system to the input test polyharmonic signals with different amplitudes. The developed software-hardware tools implementing the methodology of the identification are used for construction of the informational model of the communication channel in the form of the first and second order AFCs on the basis of the data of the input-output experiment, using harmonic and biharmonic test signals.