Abstract:
Digital communication signals that encode information in the phase may be susceptible to phase error from many sources. The invention corrects for carrier and sampling phase errors, as well as additive phase noise. A digital phase locked loop simultaneously tracks the carrier phase error and the sampling phase error, and corrects the signal in the frequency domain. The invention may use the sampling phase error to advance or delay the sampling window used to convert the signal from the time domain to the frequency domain.
Abstract:
A method of constructing an effective generator polynomial for error correction by which a unique set of syndromes for each error event is produced is provided. The method includes preparing a set of dominant error events from the intersymbol interference characteristics of media; and generating a codeword from the data using a non-primitive generator polynomial that produces a unique syndrome set which can completely specify each dominant error event.
Abstract:
An apparatus for dynamic diversity signal reception based upon receiver-side link quality assessments includes two or more antennae. At least one switch is connected to the two or more antennae. A dynamic diversity controller is connected to the at least one switch. The dynamic diversity controller includes a link quality assessor to assess link quality and generate a link characterization value. A diversity configuration selector, responsive to the link characterization value, selectively activates the at least one switch to implement a dynamic diversity configuration. The link quality assessor includes a signal strength analyzer, a modem detector, and/or a MAC layer analyzer to assess the received signal and generate the link characterization value.
Abstract:
Provided are a method of decoding an LDPC code for producing several different decoders using a parity-check matrix of the LDPC code, and an LDPC code system including the same. The system includes: an LDPC encoder outputting an LDPC codeword through a channel; a first LDPC decoder decoding the LDPC codeword received through the channel, and when the decoding has failed in a second LDPC decoder, decoding the LDPC codeword according to original parity check matrix of the LDPC codeword, using soft information newly generated after the decoding is ended in the second LDPC decoder; and the second LDPC decoder, when the decoding has failed in the first LDPC decoder, receiving the soft information on each bit from the first LDPC, and decoding the LDPC codeword according to a new parity-check matrix produced from the parity-check matrix of the LDPC codeword using the received soft information on each bit.
Abstract:
A signal is encoded by receiving input data. A first portion of the input data is encoded to obtain a first set of encoded data. At least some part of the input data is processed to determine which one of a plurality of subsets the input data corresponds to. In the event the input data corresponds to a first subset having a greater signal margin (SM) than a second subset, the first set of encoded data and a second portion of the input data are output. In the event the input data corresponds to the second subset, the second portion of the input data is encoded to obtain a second set of encoded data and the first set of encoded data and the second set of encoded data are output.
Abstract:
A signal is encoded by receiving input data. A first portion of the input data is encoded to obtain a first set of encoded data. At least some part of the input data is processed to determine which one of a plurality of subsets the input data corresponds to. In the event the input data corresponds to a first subset having a greater signal margin (SM) than a second subset, the first set of encoded data and a second portion of the input data are output. In the event the input data corresponds to the second subset, the second portion of the input data is encoded to obtain a second set of encoded data and the first set of encoded data and the second set of encoded data are output.
Abstract:
A method of constructing an effective generator polynomial for error correction by which a unique set of syndromes for each error event is produced is provided. The method includes preparing a set of dominant error events from the intersymbol interference characteristics of media; and generating a codeword from the data using a non-primitive generator polynomial that produces a unique syndrome set which completely specifies each dominant error event.
Abstract:
In an error correction method, a codeword is transmitted through a noisy communication channel and detected by a receiving device. An error detection code is then applied to the detected codeword to generate a syndrome. Where the syndrome is not all zero, the codeword is determined to contain some error. Accordingly, the method computes a set of potential error start positions for a plurality of error events based on a syndrome value corresponding to the syndrome. Next, a confidence value is computed for each of the plurality of error events at each of the potential error start positions in the refined set, and finally, a most likely error event in the detected codeword is corrected based on an error event and corresponding potential error start position having the highest confidence value.
Abstract:
Apparatuses and methods for detecting error events in a codeword reproduced by perpendicular magnetic recording medium (PMR. The method includes: generating cyclic redundancy check (CRC) parity bits based on a generator polynomial for a source information sequence to be recorded on PMR medium and recording a codeword in which the generated CRC parity bits are added to the source information sequence; and reading the recorded codeword and an error event in the read codeword. It is possible to detect error events when a codeword recorded by PMR is read, using a small number of bits.
Abstract:
A method of detecting an occurrence of an error event in data and an apparatus for the same are provided. The method includes: preparing an error detection code wherein syndrome sequences for dominant error events are all different; generating a codeword from source data using the error detection code; detecting the occurrence of the dominant error event in the codeword by checking a syndrome computed from the codeword; and determining a type and likely error starting positions of the occurred dominant error event using the syndrome sequences correspond to the syndrome.