Abstract: A method and system may include an interface to receive a video signal and an encoder to compress the video signal on a per-slice basis. In one example, compression of the video signal involves the use (50) of a hash value and an allowable distortion of each slice to select (56) a quantization parameter for the slice. The selected quantization parameter can be used to encode (58) the slice. In addition, a processor can manage wireless transmission of the compressed video signal.

Abstract: A method and system may include an interface to receive a video signal and an encoder to compress the video signal on a per-slice basis. In one example, compression of the video signal involves the use (50) of a hash value and an allowable distortion of each slice to select (56) a quantization parameter for the slice. The selected quantization parameter can be used to encode (58) the slice. In addition, a processor can manage wireless transmission of the compressed video signal.

Abstract: A unified decoder is capable of decoding data encoded with convolutional codes, Turbo codes, and LDPC codes. In at least one embodiment, a unified decoder is implemented within a multi-standard wireless device.

Abstract: An integrated incremental redundancy symbol mapping diversity system for a communication device. The integrated incremental redundancy symbol mapping diversity system includes a transmitter. The transmitter packetizes a retransmission packet according to a modulation scheme in response to a retransmission request from the receiver. The transmitter includes an output packet processor and an inter-packet selective symbol mapper. The output packet processor determines a transmission iteration of a bit segment of the retransmission packet. The inter-packet selective symbol mapper applies a first symbol map pattern to the bit segment based on the transmission iteration of the bit segment and applies a second symbol map pattern to another bit segment of the retransmission packet based on the transmission iteration of the other bit segment. The first symbol map pattern is different from the second symbol map pattern.

Abstract: Described herein are one or more implementations of a high-throughput and memory-efficient “windowed” bidirectional Soft Output Viterbi Algorithm (BI-SOVA) decoder. The described BI-SOVA decoder uses the “window” technique to concurrently decode several different non-overlapping portions of a subject signal in parallel.

Abstract: The Hadamard transform is used to spread data within data blocks in a multicarrier MIMO system, before transmission. In this manner, the negative effects caused by the clustering of bad subcarriers (i.e., subcarriers having a low transmission coefficient due to fading) may be reduced. In at least one embodiment, a MAP-type detection scheme is used in the receiver to extract bit reliabilities from the received signals.

Abstract: According to an aspect of the present invention, a symbol corresponding to a combination may be determined from a symbol set comprising at least sixteen PAM symbols. A sample such as a pulse may be generated based on the symbol value and a train of such pulses may be transmitted at a rate of at least 10 giga bits per second over a communication medium comprising, for example, a twisted copper cable. The received signal may be demodulated based on the empirically determined reliability values.

Abstract: A unified decoder (10) is capable of decoding data encoded with convolutional codes, Turbo codes and LDPC codes. The decoder comprises a first set (20, . . . ,44) and a second set (26, . . . ,30) of trellis processors for calculating path metrics during decoding of convolutional codes and for calculating alpha and beta metrics during decoding of turbo and LDPC codes. The decoder further comprises a normalization unit for the normalization of metrics (46), a set of reliability calculators, a trace back unit (32) and two alpha-beta swap units (38,40) for the redistribution of the metrics to the trellis processors. In at least one embodiment, a unified decoder is implemented within a multi-standard wireless device.

Abstract: An integrated incremental redundancy symbol mapping diversity system for a communication device. The integrated incremental redundancy symbol mapping diversity system includes a transmitter. The transmitter packetizes a retransmission packet according to a modulation scheme in response to a retransmission request from the receiver. The transmitter includes an output packet processor and an inter-packet selective symbol mapper. The output packet processor determines a transmission iteration of a bit segment of the retransmission packet. The inter-packet selective symbol mapper applies a first symbol map pattern to the bit segment based on the transmission iteration of the bit segment and applies a second symbol map pattern to another bit segment of the retransmission packet based on the transmission iteration of the other bit segment. The first symbol map pattern is different from the second symbol map pattern.

Abstract: The Hadamard transform is used to spread data within data blocks in a multicarrier MIMO system, before transmission. In this manner, the negative effects caused by the clustering of bad subcarriers (i.e., subcarriers having a low transmission coefficient due to fading) may be reduced. In at least one embodiment, a MAP-type detection scheme is used in the receiver to extract bit reliabilities from the received signals.

Abstract: According to an aspect of the present invention, a symbol corresponding to a combination may be determined from a symbol set comprising at least sixteen PAM symbols. A sample such as a pulse may be generated based on the symbol value and a train of such pulses may be transmitted at a rate of at least 10 giga bits per second over a communication medium comprising, for example, a twisted copper cable. The received signal may be demodulated based on the empirically determined reliability values.

Abstract: Described herein are one or more implementations of a high-throughput and memory-efficient “windowed” bidirectional Soft Output Viterbi Algorithm (BI-SOVA) decoder. The described BI-SOVA decoder uses the “window” technique to concurrently decode several different non-overlapping portions of a subject signal in parallel.

Abstract: A method and apparatus are provided for error correction of a communication signal. To allow for retransmission of information in response to error determination with respect to a transmission of the information, the operating sampling rate for a communication channel is increased over its normal sampling rate. At the increased operating rate, retransmissions may be made while at least maintaining the overall data rate of the communication channel with respect to its normal sampling rate. The retransmissions may be conducted using automatic repeat request (ARQ) techniques. In an embodiment, operating at increased sampling rate allows for a decrease in the required signal-to-noise ratio at a given bit error rate for the communication channel.