Fast estimation of dynamic system parameter in dynamic system on the knowledge of compressed signals

The paper is concerned with an algorithm for fast estimation of parameters of dynamic systems where compressed input and output signals are used. A modified Kalman filter is used to estimate the parameters. Computer simulation results are given. The advantages of compressed signals in parameter estimation over uncompressed ones are studied.