期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：4
页码：530-534
DOI：10.35629/5252-0304367373
语种：English
出版社：IJAEM JOURNAL
摘要：Compressed sensing takes advantage of the redundancy in many interesting signals . Compressed sensing typically starts with taking a weighted linear combination of samples also called compressive measurements in a basis different from the basis in which the signal is known to be sparse. In the existing system, low density parity check codes are used for the process of predicting the compressed sensing scheme through metric matching. The proposed architectures offer high frequency of operation and low reconstruction time when compared to the state-of-the-art designs. Specifically, the 65-nm ASIC realization operates at a maximum frequency of 500 and 666.67 MHz and offer a reconstruction time of 6.3 and 4.7 ns, respectively, for a 64 × 256 deterministic measurement matrix. In the proposed system, design of low latency corrective feedback algorithm (LLCF) is developed. The algorithm is focused on correcting the binary dead codes and utilizes it to self-repair through a corrective iteration process. The system, performs better compared to the existing interval passing algorithm in terms of latency. These codes are encrypted through LDPC encoder. The proposed system is simulated in MODELSIM and implemented in XILINX ISE.
关键词：Compressed sensing;low density parity check;interval passing algorithm;modelsim;Xilinx ISE
