Claims Analysis
Total Claims: 6
Claim 1
Independent Claim
120 words
A coder for minimum likelihood error correcting technique in a digital communication system in which a transmit side encodes original data through convolutional coding with some redundancy, and a receives side decodes received data through maximum likelihood decoding, comprising: (a) a convolutional coding circuit means for performing a convolutional coding of input data; (b) a deleting pattern memory storing a deleting pattern which designates symbols to be deleted in output data of said convolutional coding circuit means; and (c) a code deleting circuit means for deleting symbols in output data of said convolutional coding circuit means according to the content of said deleting pattern memory, to provide transmission data having a predetermined speed and a coding rate close to 1.
Claim 2
Dependent Claim
120 words
A coder for minimum likelihood error correcting technique in a digital communication system in which a transmit side encodes original data through convolutional coding with some redundancy, and a receives side decodes received data through maximum likelihood decoding, comprising: (a) a convolutional coding circuit means for performing a convolutional coding of input data; (b) a deleting pattern memory storing a deleting pattern which designates symbols to be deleted in output data of said convolutional coding circuit means; and (c) a code deleting circuit means for deleting symbols in output data of said convolutional coding circuit means according to the content of said deleting pattern memory, to provide transmission data having a predetermined speed and a coding rate close to 1.
Claim 3
Dependent Claim
172 words
A decoder for a maximum likelihood error correcting technique in a digital communication system in which a transmit side encodes original data through a convolutional coding with some redundancy and deletes some symbols thus encoded according to a predetermined deleting pattern to increase a coding rate close to 1, and a receive side decodes received data through a maximum likelihood decoding, comprising: (a) an inserting pattern memory storing an inserting symbol pattern which corresponds to a deleting pattern in a transmit side; (b) a dummy symbol inserter means for inserting a dummy sysmbol into a received signal at each proper bit position where a code is deleted in a transmit side, according to the content of said inserting pattern memory; and (c) a maximum likelihood decoder which decodes a received signal through a calculation of metric, in which a conventional metric calculation is not performed for a dummy symbol inserted in said dummy symbol insert means and a predetermined fixed likelihood value is designated to a dummy symbol irrespective of its value.
Claim 4
Dependent Claim
172 words
A decoder for a maximum likelihood error correcting technique in a digital communication system in which a transmit side encodes original data through a convolutional coding with some redundancy and deletes some symbols thus encoded according to a predetermined deleting pattern to increase a coding rate close to 1, and a receive side decodes received data through a maximum likelihood decoding, comprising: (a) an inserting pattern memory storing an inserting symbol pattern which corresponds to a deleting pattern in a transmit side; (b) a dummy symbol inserter means for inserting a dummy sysmbol into a received signal at each proper bit position where a code is deleted in a transmit side, according to the content of said inserting pattern memory; and (c) a maximum likelihood decoder which decodes a received signal through a calculation of metric, in which a conventional metric calculation is not performed for a dummy symbol inserted in said dummy symbol insert means and a predetermined fixed likelihood value is designated to a dummy symbol irrespective of its value.
Claim 5
Dependent Claim
34 words
A coder according to claim 1, wherein a coding rate of an original data is 1/2 and a coding rate of a resultant code after deleting is in the range between 2/3 and 7/8.
Claim 6
Dependent Claim
41 words
A decoder according to claim 2, wherein the fixed likelihood value for a dummy data is in the range between the maximum symbol metric value for a soft decision data and the minimum symbol metric value for a soft decision data.