grantor: University of TorontoIn this thesis, we develop a new coding system for direct sequence code-division multiple access (DS-CDMA) that supports more multiple users than many previously reported DS-CDMA systems. The most important distinctive feature of this new approach is the use of powerful short frame Gallager codes for data error protection. These codes combine strong protection against multiple access interference (MAI) and channel noise with small data delays. This combination makes these Gallager codes an excellent choice as an error-protecting scheme in speech-oriented CDMA applications. We investigate the theoretical performance of Gallager codes with maximum-likelihood decoder and derive new block error probabilit...
In 1948, C. Shannon developed fundamental limits on the efficiency of communication over noisy chann...
Next generation wireless communication systems will require support for many different applications ...
Abstract We study two families of error-correcting codes defined in terms of very sparse matrices. `...
grantor: University of TorontoIn this thesis, we develop a new coding system for direct se...
Gallager codes with large block length and low rate (e.g., N � 10, 000–40, 000, R � 0.25–0.5) have b...
The most powerful channel-coding schemes, namely, those based on turbo codes and low-density parity-...
Due to the increasing demand of high data rate of modern wireless communications, there is a signifi...
We study the limits of performance of Gallager codes (low-density parity-check codes) over binary li...
In this paper, we propose a new upper bound on the error performance of binary linear codes over blo...
Since the error performance of coded communication systems rarely admits exact expressions, tight an...
This thesis treats some information-theoretical and coding aspects of communication over multiple-ac...
Gallager's decoding algorithm A (GDA) for low-density parity-check (LDPC) codes is of interest ...
Abstract—The most powerful channel-coding schemes, namely, those based on turbo codes and low-densit...
Next generation wireless communication systems will require support for many different applications ...
Abstract- Sorokine et al. have proposed a new construction for low density parity check codes by app...
In 1948, C. Shannon developed fundamental limits on the efficiency of communication over noisy chann...
Next generation wireless communication systems will require support for many different applications ...
Abstract We study two families of error-correcting codes defined in terms of very sparse matrices. `...
grantor: University of TorontoIn this thesis, we develop a new coding system for direct se...
Gallager codes with large block length and low rate (e.g., N � 10, 000–40, 000, R � 0.25–0.5) have b...
The most powerful channel-coding schemes, namely, those based on turbo codes and low-density parity-...
Due to the increasing demand of high data rate of modern wireless communications, there is a signifi...
We study the limits of performance of Gallager codes (low-density parity-check codes) over binary li...
In this paper, we propose a new upper bound on the error performance of binary linear codes over blo...
Since the error performance of coded communication systems rarely admits exact expressions, tight an...
This thesis treats some information-theoretical and coding aspects of communication over multiple-ac...
Gallager's decoding algorithm A (GDA) for low-density parity-check (LDPC) codes is of interest ...
Abstract—The most powerful channel-coding schemes, namely, those based on turbo codes and low-densit...
Next generation wireless communication systems will require support for many different applications ...
Abstract- Sorokine et al. have proposed a new construction for low density parity check codes by app...
In 1948, C. Shannon developed fundamental limits on the efficiency of communication over noisy chann...
Next generation wireless communication systems will require support for many different applications ...
Abstract We study two families of error-correcting codes defined in terms of very sparse matrices. `...