Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: A method of frequency tracking based on recovered data, for use in an automatic frequency control subsystem at the receiver of a mobile station, is disclosed. The frequency tracking mechanism derives frequency error information from the recovered data to determine the adjustment needed at the mobile station's local voltage controlled oscillator in order to track the frequency of the base station.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Abstract: A method of frequency estimation for a GSM communications system is disclosed. First, the a frequency control channel data burst is received and downsampled into a plurality of subsets. Then, the subsets are filtered using an auto-regressive filter. The filtered subsets are then correlated and summed to determine a parameter r. The estimated frequency is calculated based upon the parameter r.

Abstract: Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Abstract: A method of frequency tracking based on recovered data, for use in an automatic frequency control subsystem at the receiver of a mobile station, is disclosed. The frequency tracking mechanism derives frequency error information from the recovered data to determine the adjustment needed at the mobile station's local voltage controlled oscillator in order to track the frequency of the base station.

Abstract: A method of frequency estimation for a GSM communications system is disclosed. First, the a frequency control channel data burst is received and downsampled into a plurality of subsets. Then, the subsets are filtered using an auto-regressive filter. The filtered subsets are then correlated and summed to determine a parameter r. The estimated frequency is calculated based upon the parameter r.