Abstract: A receiver receives information from a physical broadcast channel signal, wherein the receiver includes a blind processing and decoding unit that utilizes a hypothesis about how many transmit antennas were used to transmit the signal. Received signal characteristics are detected that indicate how many transmit antennas were used. Each transmit antenna hypothesis in a stored list represents how many transmit antennas were used. For each of the stored hypotheses, a probability value is determined based, at least in part, on the detected signal characteristics. The list of hypotheses is modified to associate the probability values with respective ones of the transmit antenna hypotheses. The modified list is used to provide antenna hypothesis probabilities, and the blind processing and decoding unit is operated such it begins with a most probable antenna hypothesis and continues with increasingly less probable antenna hypotheses until successful decoding occurs or all antenna hypotheses have been made.

Abstract: Debug circuitry is operated in a manner that facilitates debugging one or more hardware and/or software components that are included in a system that includes a system memory. The debug circuitry receives information from one of the hardware and/or software components and/or from the system memory, and ascertains whether the received information includes memory address parameters. If the received information includes memory address parameters, then the memory address parameters are used to retrieve data from the system memory. The retrieved data is supplied at an output port of the debug circuitry.

Abstract: A Reduced-State Sequence Estimation (RSSE) method is disclosed, whereby states in a trellis structure associated, for example, with a Viterbi algorithm are partitioned into a plurality of hyper-states. During a hyper-state decision interval, a hyper-soft value is calculated. The calculated hyper-soft value is a measurement of the accuracy of the hyper-state decision made. The calculated hyper-soft value can be used by an equalizer to generate soft-value information for decoding. A soft-value generated from such a hyper-soft value combined with bit soft-value in an RSSE algorithm is significantly more accurate than a soft-value that can be generated for a DFSE algorithm (i.e., without such a hyper-soft value).