A Novel Area Efficient Folded Modified Convolutional Interleaving Architecture for MAP Decoder
نویسندگان
چکیده
This paper proposes a novel area-efficient folded modified convolutional interleaving (FMCI) architecture for MAP decoder. The end to end delay of proposed FMCI requires only 2M. In addition, the number of latches can reduce to M-2. Hence the proposed FMCI architecture has lesser end to end delay and minimizes the number of latches usage as compare with block interleaving and convolutional interleaving. In addition to this the life time analysis and forward-backward allocation has also been implemented. Therefore, FMCI architecture can reduce the memory elements about 88% as compare with block interleaving for the particular condition when M = NJ
منابع مشابه
A Novel Area efficient Folded Modified convolutional interleaving architecture for MAP decoder
This paper proposes a novel area-efficient folded modified convolutional interleaving (FMCI) architecture for MAP decoder. The end to end delay of proposed FMCI requires only 2M. In addition, the number of latches can reduce to M-2. Hence the proposed FMCI architecture has lesser end to end delay and minimizes the number of latches usage as compare with block interleaving and convolutional inte...
متن کاملInterleaved Convolutional Code and Its Viterbi Decoder Architecture
We propose an area-efficient high-speed interleaved Viterbi decoder architecture, which is based on the state-parallel architecture with register exchange path memory structure, for interleaved convolutional code. The state-parallel architecture uses as many add-compare-select (ACS) units as the number of trellis states. By replacing each delay (or storage) element in state metrics memory (or p...
متن کاملProvide a Deep Convolutional Neural Network Optimized with Morphological Filters to Map Trees in Urban Environments Using Aerial Imagery
Today, we cannot ignore the role of trees in the quality of human life, so that the earth is inconceivable for humans without the presence of trees. In addition to their natural role, urban trees are also very important in terms of visual beauty. Aerial imagery using unmanned platforms with very high spatial resolution is available today. Convolutional neural networks based deep learning method...
متن کاملAn FPGA realization of simplified turbo decoder architecture
The key issue of applying Turbo codes is to find an efficient implementation of turbo decoder. This paper addresses the implementation of a simplified and efficient turbo decoder in field programmable gate array (FPGA) technology. A simplified and efficient implementation of a Turbo decoder with minor performance loss has been proposed. An integer Turbo decoder based on the standard 2’s complem...
متن کاملEfficient hardware implementation of a highly-parallel 3GPP LTE/LTE-advance turbo decoder
We present an efficient VLSI architecture for 3GPP LTE/LTE-Advance Turbo decoder by utilizing the algebraic-geometric properties of the quadratic permutation polynomial (QPP) interleaver. The highthroughput 3GPP LTE/LTE-Advance Turbo codes require a highly-parallel decoder architecture. Turbo interleaver is known to be the main obstacle to the decoder parallelism due to the collisions it introd...
متن کامل