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ML and near-ML MIMO detectors have attracted a lot of interest in recent years. However, almost all of the reported implementations are delivered in ASIC or FPGA. Our contribution is to co-optimize the near-ML MIMO detector algorithm and implementation for parallel programmable baseband architectures, such as DSPs with VLIW, SIMD or vector processing(More)
ML and near-ML MIMO detectors have attracted a lot of interest in recent years. However, almost all the reported implementations are delivered in ASICs or FPGAs. Our contribution is optimizing the near-ML MIMO detector for parallel programmable architectures, such as those with ILP and DLP features. In the proposed SSFE (Selective Spanning with Fast(More)
The maize genome has been shown to contain six glutamine synthetase (GS) genes with at least four different expression patterns. Noncoding 3′ gene-specific probes were constructed from all six GS cDNA clones and used to examine transcript levels in selected organs by RNA gel blot hybridization experiments. The transcript of the single putative chloroplastic(More)
Energy-efficient scalable soft-output signal detectors are of significant interest in emerging Multiple-Input Multiple-Output (MIMO) wireless communication systems. However, traditional high-performance MIMO detectors consume a rather high amount of power, are typically constraint to one modulation scheme and are not scalable with the number of antennas.(More)
Rotated constellations have shown promising potentials for harsh channel conditions and it becomes an crucial feature of DVB-T2. Several other standards, such as new generations of ATSC and DTMB, are also considering it. How-ever, the superiority of performance comes at the cost of orders of magnitudes higher complexity for demodulation, which is a crucial(More)
To support the growth and the dynamism in today's wireless communication, networks are evolving towards smaller cells and base-stations closer to the mobile users. This evolution opens the possibility to deal with one of the main problems in mobile networks: the energy consumption of the base-stations. In this paper, different opportunities are proposed to(More)
Complex signal processing algorithms are often specified in floating point precision. Thus, a type conversion is needed when the targeted platform requires fixed-point precision. In this work we proposed a new method to evaluate the final impact of finite precision processing in wireless applications. The latter combines analytical analysis with(More)
Recently, various specialized Software Defined Radio (SDR) baseband processors have been proposed for meeting the high performance and programmability requirements for emerging wireless communication applications. In order to support high throughput wireless communication, the SDR baseband processors typically employ many parallel computation elements,(More)