Abstract: A method and apparatus may estimate the channel and signal to noise ratio for each of N hypotheses in, for example, a modem or other device receiving data, and may select the hypothesis with the highest signal to noise ratio with a high probability and low computational complexity.

Abstract: Channel tracking is performed using a channel taps covariance matrix. In one embodiment, the channel taps covariance matrix may be used as part of the step term of an adaptive algorithm.

Abstract: Briefly, a method an apparatus and a wireless communication device are provided. The wireless communication device includes a receiver to receive complex sequences of symbols. The receiver includes an estimator to estimate one or more channel taps. The estimator includes a memory to store at least a portion of one or more calculated values of an estimation matrix and is capable to estimate the one or more channel taps based on a stored portion of calculated values of the estimation matrix.

Abstract: Briefly, a method and apparatus that may detect a property received signal. The property may be a modulation scheme and/or training sequence and the detection of the property may be done by estimating energy of one or more channel taps outside the range of a channel of the received signal.

Abstract: Briefly, some embodiments of the invention may provide devices, systems and methods to estimate, detect and handle cross-correlation between co-channel interference and a received signal in a wireless communication network. For example, a method in accordance with an embodiment of the invention may handle a data block of a received signal based on an estimated cross-correlation between co-channel interference and the received signal.

Abstract: A receiver estimates channel parameters, equalizes the channel, re-estimates the parameters after remodulation, and normalizes soft bits.

Abstract: A receiver includes a channel length determination unit to determine a channel length for use by a channel estimator. In at least one embodiment, an iterative process is used to find a channel length (or a combination of channel length and one or more other channel related parameters) that optimizes a channel estimation quality criterion. A time tracking method is also provided that uses an early metric, a center metric, and a late metric to determine an appropriate timing.

Abstract: Methods and apparatus for iteratively tracking channel taps in a non-stationary communications channel subject to multipath fading. Training data transmitted through the communications channel are used to determine an initial set of channel taps. A time dependent channel tap model is initialized with the initial set of channel taps. The channel tap weight is programmed into an equalizer that uses the model to estimate unknown data symbols in the received data. The estimated data symbols are used to generate a plurality of adaptively updated sets of channel taps. The plurality of adaptively updated sets of channel taps are fit to a time-dependent channel tap model to update the model parameters. The final channel tap model can then be used by the equalizer to reliably estimate unknown data symbols in the received data.

Abstract: Channel tracking is performed using a channel taps covariance matrix. In one embodiment, the channel taps covariance matrix may be used as part of the step term of an adaptive algorithm.

Abstract: An iterative equalization process uses a reduced complexity equalizer as a first stage in the equalization process and a reduced alphabet MLSE equalizer as a later stage. The reduced complexity equalizer is used to identify a reduced alphabet including symbols having a higher probability of representing an actual transmitted symbol. The reduced alphabet is then used as the alphabet for the reduced alphabet MLSE equalizer.

Abstract: This invention discloses an interactive exercise monitoring system including a body mounted motion sensor, and a user sensible output indicator indicating to a user an exercise motion parameter derived from an output of the body mounted motion sensor as well as a desired exercise motion parameter for comparison therewith.A method for interactive exercise monitoring is also disclosed.