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Low-Power System Design for MPEG-2/4 AAC Audio Decoder Using Pure ASIC Approach

机译:采用纯ASIC方法的MPEG-2 / 4 AAC音频解码器的低功耗系统设计

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This paper presents an implementation of a low-power and pure-hardware advanced-audio-coding (AAC) audio decoder system. Based on the characteristics of each decoding block, the AAC system is partitioned into four separate modules. For low-power and low-complexity considerations, architectural- and algorithmic-level approaches are adopted in both individual modules and whole system. In parallel PLA-based codeword decoder, we achieve a constant output rate of Huffman decoding in 2.5 cycles for the worst case, and memory usage is decreased compared to that in the binary-tree memory-based method. In reduced lookup table inverse quantizer, a table lookup with interpolation scheme is adopted which reduces the size of the lookup table from 8192 to 256. In hardware-shared signal processor, we use a hardware-sharing technique which integrates several similar blocks into a common hardware to reduce cost and enhance hardware utilization. In fully pipelined filterbank, a fast algorithm decreases the numbers of multiplication and addition largely to factors of 24 and 144 for the short and long blocks, respectively. A corresponding hardware for filterbank processing is proposed with fully pipelined architecture. Referring to stereo processing, a single hardware is shared for the channel pairs with low-cost consideration. The hardware operations of each module are well scheduled with high utilization of pipeline, and furthermore, the parallel processing among blocks is joined to increase efficiency. A 48% power savings can be reached by using the pipeline and parallel techniques of the channel pair. The proposed AAC decoder is realized in UMC 0.18-${rm mu}hbox{m}$ 1P6M technology and is operated at only 3 MHz in the worst case. The power dissipation is only 2.45 mW at the sampling frequency of 44.1 kHz.
机译:本文提出了一种低功耗和纯硬件高级音频编码(AAC)音频解码器系统的实现。根据每个解码块的特性,将AAC系统划分为四个单独的模块。出于低功耗和低复杂度的考虑,在单个模块和整个系统中都采用了体系结构和算法级别的方法。在基于并行PLA的码字解码器中,最坏的情况下,我们在2.5个周期内实现了霍夫曼解码的恒定输出速率,与基于二进制树存储的方法相比,内存使用量有所减少。在精简查找表逆量化器中,采用了具有插值方案的查找表,从而将查找表的大小从8192减小到256。在硬件共享信号处理器中,我们使用了一种硬件共享技术,该技术将几个相似的块集成到一个公共块中。硬件以降低成本并提高硬件利用率。在全流水线滤波器组中,一种快速算法将长块的乘法和加法运算次数分别减少至24和144倍。提出了具有全流水线架构的用于滤波器组处理的相应硬件。关于立体声处理,出于低成本考虑,为通道对共享单个硬件。每个模块的硬件操作安排得很好,流水线利用率很高,而且,块之间的并行处理被加入以提高效率。通过使用通道对的流水线和并行技术,可以节省48%的功率。拟议中的AAC解码器采用UMC 0.18- $ 1P6M技术实现,在最坏的情况下仅以3 MHz运行。在44.1 kHz的采样频率下,功耗仅为2.45 mW。

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