Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
We study the local testability of linear codes. We first reformulate this question in the language of tolerant linearity testing under a non-uniform distribution. We then study th...
Abstract—This paper proposes a new differential super-quasiorthogonal space-time trellis codes (SQOSTTC) with singlesymbol maximum-likelihood (ML) decoding. Firstly, a new joint ...
Jun Wang, Jing Qian, Junhui Dou, Shouyin Liu, Seon...
—In this treatise, we propose a novel family of serial concatenated IrRegular Convolutional Coded (IRCC) IrRegular Precoded Differential Linear Dispersion Codes (IR-PDLDC). The i...
Abstract—This paper presents an Irregular Distributed Hybrid Concatenated Differential (Ir-DHCD) coding scheme contrived for the relayaided differential decode-and-forward (DDF) ...