A maximum a posteriori probability (MAP) detector based on a forward only algorithm with high throughput is con-sidered in this paper. MAP gives the optimal performance and, with Turbo decoding, can achieve performance close to the channel capacity limits. Deep pipelined architecture for the forward only method is presented and compared with the other throughput-increasing methods. Simulation re-sults based on the iterative MAP-LDPC (low-density par-ity check) system are shown. Hardware implementation is-sues that exploit the regularities of the structure are also dis-cussed. 1
Several important combinatorial optimization problems can be formulated as maximum a posteriori (MAP...
A classical problem in digital communications is to evaluate the symbol error probability (SEP) and ...
A new technique to acquire pseudo-noise (PN) sequences has been recently proposed in [1] and [2]. It...
Abstract- This paper presents a novel high-speed maximum a posteriori (MAP) decoder architecture wit...
The symbol-by-symbol maximum a posteriori (MAP) known also as BCJR algorithm is described. The logar...
The effect of parallelism on Bit Error Rate (BER) performance of Turbo Code (TC) and Self Concatenat...
Abstract—This paper presents the Max Log Maximum a Posteriori (MAX Log MAP) architecture which influ...
In this paper MAP (Maximum a Posteriori) algorithm in the turbo decoder has been modified to use wit...
In this paper, we present an overview on the design of algorithms for iterative detection over chann...
AbstractMultiple–input multiple-output (MIMO) detection techniques can vary significantly in complex...
In this paper we present the VLSI implementation of a high-throughput enhanced Max-log-MAP processor...
Abstract—Iterative decoding of convolutional turbo code (CTC) has a large memory power consumption. ...
Abstract: Low density parity check (LDPC) codes have been extensively adopted in next-generation for...
In this paper, we regard as a coded transmission over a frequency-selective channel. We plan to stud...
Abstract—Soft-input soft-output (SISO) maximum a-posteriori (MAP) decoders for convolutional codes (...
Several important combinatorial optimization problems can be formulated as maximum a posteriori (MAP...
A classical problem in digital communications is to evaluate the symbol error probability (SEP) and ...
A new technique to acquire pseudo-noise (PN) sequences has been recently proposed in [1] and [2]. It...
Abstract- This paper presents a novel high-speed maximum a posteriori (MAP) decoder architecture wit...
The symbol-by-symbol maximum a posteriori (MAP) known also as BCJR algorithm is described. The logar...
The effect of parallelism on Bit Error Rate (BER) performance of Turbo Code (TC) and Self Concatenat...
Abstract—This paper presents the Max Log Maximum a Posteriori (MAX Log MAP) architecture which influ...
In this paper MAP (Maximum a Posteriori) algorithm in the turbo decoder has been modified to use wit...
In this paper, we present an overview on the design of algorithms for iterative detection over chann...
AbstractMultiple–input multiple-output (MIMO) detection techniques can vary significantly in complex...
In this paper we present the VLSI implementation of a high-throughput enhanced Max-log-MAP processor...
Abstract—Iterative decoding of convolutional turbo code (CTC) has a large memory power consumption. ...
Abstract: Low density parity check (LDPC) codes have been extensively adopted in next-generation for...
In this paper, we regard as a coded transmission over a frequency-selective channel. We plan to stud...
Abstract—Soft-input soft-output (SISO) maximum a-posteriori (MAP) decoders for convolutional codes (...
Several important combinatorial optimization problems can be formulated as maximum a posteriori (MAP...
A classical problem in digital communications is to evaluate the symbol error probability (SEP) and ...
A new technique to acquire pseudo-noise (PN) sequences has been recently proposed in [1] and [2]. It...