Estimating the parameters of random processes from data of several information sources

The problem of designing a multi-channel estimating system is discussed. The channel inputs receive the same signal in additive mixture with noises inherent in inputs of each channel. For solution a spectral method is used whereby a signal value is represented as a partial sum of its Fourier series in a generalized basis.