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Pipelining in algorithms with quantizer loops

机译:带量化器循环的算法流水线

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High-speed implementation of signal processing algorithms for digital transmission is addressed. The internal feedback or recursion in these algorithms makes it difficult to implement recursive systems concurrently using either pipelining or parallelism. In the past, look-ahead computation techniques were successfully applied to create necessary concurrency in linear recursive and some nonlinear recursive operations (such as the add-compare-select operation). Novel computation approaches are proposed, and the look-ahead technique is extended to pipeline the feedback loops containing finite-level quantizers. Approaches to pipeline piecewise-linear recursive systems are presented. The proposed architectures are suitable for real-time high-speed implementation of quantizer loop operations where the levels of quantizer and the order of the loops are small.
机译:解决了用于数字传输的信号处理算法的高速实现。这些算法中的内部反馈或递归使使用流水线或并行性难以同时实现递归系统。过去,先行计算技术已成功应用于在线性递归和一些非线性递归操作(例如加-比较-选择操作)中创建必要的并发。提出了新的计算方法,并且扩展了预见技术以流水线化包含有限级量化器的反馈回路。提出了流水线分段线性递归系统的方法。所提出的体系结构适用于量化器级别和循环顺序小的实时量化器循环操作的实时实现。

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