A Power Efficient Test Data Compression Method on Count Compatible PRL Coding

Yuan, Haiying; Mei, Jiaping; Sun, Xun; Cheng, Kwang-Ting; Guo, Kun

doi:10.1142/s021812661550084x

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…Next, the digital outputs are obtained from the analog outputs using analog-to-digital (ADC) sampling. Compared with conventional compression methods [12], this analog implementation of compressive sensing entails lower quantized noise as it converts the input signal to digital codes before compression [13,14].…”

Section: Compressive Sensing Technology and Hardware Schemementioning

confidence: 99%

Compressive Sensing Measurement Matrix Generator Based on Improved SC-Array LDPC Code

Yuan

Song

Sun

et al. 2015

Circuits Syst Signal Process

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We construct and implement a compressive sensing measurement matrix based on improved size-compatible (ISC)-array low-density parity-check (LDPC) code. First, we propose an improved measurement matrix from the array LDPC code matrix. The proposed measurement matrix retains suitable quasi-cyclic structures and supports arbitrary code lengths. It also achieves a high perfect recovery percentage compared with a Gaussian random matrix of the same size. Second, we propose a hardware scheme using cycle shift registers to design the compressive sensing measurement matrix generator. This provides simple circuit architecture during the generation of the measurement matrix. According to simulation verifications, the measurement matrix construction method is effective and entails fewer shift registers and a lower area overhead by using a simplified hardware implementation scheme. The compressive sensing measurement matrix generator can generate all of the required elements in Circuits Syst Signal Process the ISC-array LDPC code matrix with an acceptable hardware overhead. Therefore, it can be widely applied to large-scale sparse signal compressive sensing.

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Section: Compressive Sensing Technology and Hardware Schemementioning

confidence: 99%