Abstract: Various multi-lane ADCs are disclosed that substantially compensate for impairments present within various signals that result from various impairments, such as phase offset, amplitude offset, and/or DC offset to provide some examples, such that their respective digital output samples accurately represent their respective analog inputs. Generally, the various multi-lane ADCs determine various statistical relationships, such as various correlations to provide an example, between these various signals and various known calibration signals to quantify the phase offset, amplitude offset, and/or DC offset that may be present within the various signals. The various multi-lane ADCs adjust the various signals to substantially compensate for the phase offset, amplitude offset, and/or DC offset based upon these various statistical relationships such that their respective digital output samples accurately represent their respective analog inputs.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.

Abstract: Various pipeline ADCs are disclosed that substantially compensate for interference or distortion that results from imperfections with various ADC modules of the pipeline ADCs. The pipeline ADCs include various ADC stages and various compensation stages that are coupled to the various ADC stages. The various ADC stages convert their corresponding analog inputs from an analog signal domain to a digital signal domain to provide various digital output signals and various analog residual signals to subsequent ADC stages. The various compensation stages compensate for interference or distortion that is impressed onto the various analog residual signals which results from imperfections within previous ADC stages.

Abstract: Various pipeline ADCs are disclosed that substantially compensate for interference or distortion that results from imperfections with various ADC modules of the pipeline ADCs. The pipeline ADCs include various ADC stages and various compensation stages that are coupled to the various ADC stages. The various ADC stages convert their corresponding analog inputs from an analog signal domain to a digital signal domain to provide various digital output signals and various analog residual signals to subsequent ADC stages. The various compensation stages compensate for interference or distortion that is impressed onto the various analog residual signals which results from imperfections within previous ADC stages.

Abstract: Various multi-lane ADCs are disclosed that substantially compensate for impairments present within various signals that result from various impairments, such as phase offset, amplitude offset, and/or DC offset to provide some examples, such that their respective digital output samples accurately represent their respective analog inputs. Generally, the various multi-lane ADCs determine various statistical relationships, such as various correlations to provide an example, between these various signals and various known calibration signals to quantify the phase offset, amplitude offset, and/or DC offset that may be present within the various signals. The various multi-lane ADCs adjust the various signals to substantially compensate for the phase offset, amplitude offset, and/or DC offset based upon these various statistical relationships such that their respective digital output samples accurately represent their respective analog inputs.

Abstract: Sparse channel equalization may be achieved by receiving a signal via a multi-path communication channel. The equalization then continues by extracting sparse information regarding the multiple path communication channel from the signal. Such sparse information generally indicates the position of the signals received via each of the multiple paths. The equalization then continues by estimating a channel response of the multiple path communication channel based on the sparse information. The equalization then continues by generating equalization taps (or coefficients) based on the channel response. The equalization then continues by equalizing the signal based on the equalization taps.

Abstract: Sparse channel equalization may be achieved by receiving a signal via a multi-path communication channel. The equalization then continues by extracting sparse information regarding the multiple path communication channel from the signal. Such sparse information generally indicates the position of the signals received via each of the multiple paths. The equalization then continues by estimating a channel response of the multiple path communication channel based on the sparse information. The equalization then continues by generating equalization taps (or coefficients) based on the channel response. The equalization then continues by equalizing the signal based on the equalization taps.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.

Abstract: Determination of equalizer coefficients from a sparse channel estimate begins by determining location of significant taps based on the sparse channel estimate of a multiple path communication channel. The sparse channel estimate indicates the positioning of signals received via the various multiple paths of the channel. The method then continues by determining feed-forward equalization coefficients based on the location of the significant taps. The method then continues by determining feedback equalization coefficients based on the feed-forward equalization coefficients and the sparse channel estimate.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.

Abstract: Certain embodiments of the invention may be found in a method and system for a vestigial side band (VSB), quadrature amplitude modulation (QAM), NTSC, out-of-band (OOB) receiver that is integrated in a single chip. The single chip integrated digital television (DTV) receiver provides plug and play DTV receiver capability for handling both North American digital cable television and digital terrestrial broadcast television compatible systems. The integrated DTV receiver may receive all standard-definition and high-definition digital formats (SDTV/HDTV) and an on-chip NTSC demodulator handles NTSC video. An output of the NTSC demodulator may be directed to an external broadcast television system committee (BTSC) or Zweiton M decoder, or it may be sent to an on-chip audio BTSC compliant decoder. The single chip integrated DTV receiver may also comprise an integrated out-of-band QPSK receiver, which may be adapted to, for example, handle a CableCard compliant with the CableCard Specification.

Abstract: Determination of equalizer coefficients from a sparse channel estimate begins by determining location of significant taps based on the sparse channel estimate of a multiple path communication channel. The sparse channel estimate indicates the positioning of signals received via the various multiple paths of the channel. The method then continues by determining feed-forward equalization coefficients based on the location of the significant taps. The method then continues by determining feedback equalization coefficients based on the feed-forward equalization coefficients and the sparse channel estimate.

Abstract: Sparse channel equalization may be achieved by receiving a signal via a multi-path communication channel. The equalization then continues by extracting sparse information regarding the multiple path communication channel from the signal. Such sparse information generally indicates the position of the signals received via each of the multiple paths. The equalization then continues by estimating a channel response of the multiple path communication channel based on the sparse information. The equalization then continues by generating equalization taps (or coefficients) based on the channel response. The equalization then continues by equalizing the signal based on the equalization taps.

Abstract: An adaptive receiver is disclosed for optimally receiving and processing signals. The receiver utilizes one or more memory blocks to store groups of incoming symbols. The groups of symbols are processed by a channel estimation subsystem to determine channel characteristics. The receiver determines the appropriate demodulation and decoding strategy to implement based on the determined channel characteristics. The receiver includes a plurality of demodulation and decoding schemes, one of which is selected based on the results of a channel estimation analysis.