Selecting inflation indicators under an inflation targeting regime: evidence from the MCL method

This paper seeks to fill a gap in the literature by analyzing inflation in Poland, one of only two transition economies that have adopted a strict inflation-targeting policy. The paper also introduces a new method for selecting inflation indicators. Consistent with the earlier literature, empirical results find a strong link between the producer price index and consumer price index in Poland. This shows the importance of the manufacturing sector in determining the price level in the country. Overall, wages, broad money supply and the exchange rate are good indicators of inflation.inflation; Poland; MCL method

Estimation of Autoregressive Fading Channels Based on Two Cross-Coupled H∞ Filters

This paper deals with the on-line estimation of time-varying frequency-flat Rayleigh fading channels based on training sequences and using H∞ filtering. When the fading channel is approximated by an autoregressive (AR) process, the AR model parameters must be estimated. As their direct estimations from the available noisy observations at the receiver may yield biased values, the joint estimation of both the channel and its AR parameters must be addressed. Among the existing solutions to this joint estimation issue, Expectation Maximization (EM) algorithm or crosscoupled filter based approaches can be considered. They usually require Kalman filtering which is optimal in the H2 sense provided that the initial state, the driving process and measurement noise are independent, white and Gaussian. However, in real cases, these assumptions may not be satisfied. In addition, the state-space matrices and the noise variances are not necessarily accurately estimated. To take into account the above problem,we propose to use two crosscoupled H∞ filters. This method makes it possible to provide robust estimation of the fading channel and its AR parameters

On adaptive filter structure and performance

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