Abstract: A super-frame for transmission in an optical communications system comprises two or more data frames and a parity frame. All frames in the super-frame have been encoded in accordance with a first Forward Error Correction (FEC) scheme. The parity frame is computed over the two or more data frames (prior to or concurrently with or after encoding via the first FEC scheme) according to a second FEC scheme. At a receiver, the super-frame is decoded in accordance with the first FEC scheme to generate a set of FEC decoded frames in which residual errors are clustered, that is, are non-Poisson. The second FEC scheme, which is particularly suited or designed to correct the clustered non-Poisson residual errors, is used to correct the residual errors.

Abstract: A super-frame for transmission in an optical communications system comprises two or more data frames and a parity frame. All frames in the super-frame have been encoded in accordance with a first Forward Error Correction (FEC) scheme. The parity frame is computed over the two or more data frames (prior to or concurrently with or after encoding via the first FEC scheme) according to a second FEC scheme. At a receiver, the super-frame is decoded in accordance with the first FEC scheme to generate a set of FEC decoded frames in which residual errors are clustered, that is, are non-Poisson. The second FEC scheme, which is particularly suited or designed to correct the clustered non-Poisson residual errors, is used to correct the residual errors.

Abstract: A super-frame for transmission in an optical communications system comprises two or more data frames and a parity frame. All frames in the super-frame have been encoded in accordance with a first Forward Error Correction (FEC) scheme. The parity frame is computed over the two or more data frames (prior to or concurrently with or after encoding via the first FEC scheme) according to a second FEC scheme. At a receiver, the super-frame is decoded in accordance with the first FEC scheme to generate a set of FEC decoded frames in which residual errors are clustered, that is, are non-Poisson. The second FEC scheme, which is particularly suited or designed to correct the clustered non-Poisson residual errors, is used to correct the residual errors.

Abstract: A super-frame for transmission in an optical communications system comprises two or more data frames and a parity frame. All frames in the super-frame have been encoded in accordance with a first Forward Error Correction (FEC) scheme. The parity frame is computed over the two or more data frames (prior to or concurrently with or after encoding via the first FEC scheme) according to a second FEC scheme. At a receiver, the super-frame is decoded in accordance with the first FEC scheme to generate a set of FEC decoded frames in which residual errors are clustered, that is, are non-Poisson. The second FEC scheme, which is particularly suited or designed to correct the clustered non-Poisson residual errors, is used to correct the residual errors.

Abstract: A method of forward error correction in an optical communications system. A signal to be transmitted is logically defined as a super-frame comprising a plurality of frames including a parity frame and a predetermined set of data frames. Each frame of the super-frame is processed in accordance with a first FEC scheme having a known error correlation characteristic. At least the set of data frames is processed in accordance with a second FEC scheme which is selected based on the error correlation characteristic of the first FEC scheme.

Abstract: A method and system for predicting channel fading, particularly in a mobile wireless environment, that is accurate for long-range predictions. The method comprises estimating a model parameters based on a current channel estimate, and recursively adapting the model parameters to predict future channel fading coefficients until a predetermined re-acquisition condition is satisfied. Once the re-acquisition condition has been satisfied, the model parameters are again estimated based on a current channel estimate. The acquired model parameters are adaptively updated and used in a Kalman filter.

Abstract: A method and system for predicting channel fading, particularly in a mobile wireless environment, that is accurate for long-range predictions. The method comprises estimating a model parameters based on a current channel estimate, and recursively adapting the model parameters to predict future channel fading coefficients until a predetermined re-acquisition condition is satisfied. Once the re-acquisition condition has been satisfied, the model parameters are again estimated based on a current channel estimate. The acquired model parameters are adaptively updated and used in a Kalman filter.