Abstract: A method for determining a symbol boundary of a data packet of a received signal, where the data packet includes a first training field, a guard interval, and a second training field. The received signal is sampled to obtain multiple samples. A first symbol boundary estimate is determined using one or more block auto-correlation values. Thereafter, a second symbol boundary estimate is determined based on the first symbol boundary estimate and using one or more cross-correlation values. The second symbol boundary estimate then is shifted using moving average auto-correlation values for the samples in the vicinity of the second symbol boundary estimate to obtain an accurate symbol boundary estimate.

Abstract: A method for Cholesky based processing of data includes receiving a first matrix that equals a product of a first lower triangular matrix and a first upper triangular matrix, where the first upper triangular matrix is a complex conjugate transpose of the first lower triangular matrix, and applying, by a processing unit that has a set of P processors, a loopless Cholesky factorization process on each equally sized block of multiple equally sized blocks of the first matrix to provide the first lower triangular matrix. Each equally sized block has E elements, where E is a integer multiple of P.

Abstract: A method for determining a symbol boundary of a data packet of a received signal, where the data packet includes a first training field, a guard interval, and a second training field. The received signal is sampled to obtain multiple samples. A first symbol boundary estimate is determined using one or more block auto-correlation values. Thereafter, a second symbol boundary estimate is determined based on the first symbol boundary estimate and using one or more cross-correlation values. The second symbol boundary estimate then is shifted using moving average auto-correlation values for the samples in the vicinity of the second symbol boundary estimate to obtain an accurate symbol boundary estimate.