- parallel architecture
- parallel construction
- parallel organization
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并行结构的英文
例句与用法
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- In the clustered system , the data nodes have strong independency . in order to improve the concurrency , we put forward a sort of redundant array of independent data node ( raidn ) , which is similar to raid 5 . we also discuss its fault tolerant and propose a parity extension algorithm called sequence - extend
在我们提出的并行结构中，数据节点独立性很强，为提高数据的并发度、负载平衡及容错性，本文提出了一种类似raid5结构的独立冗余数据节点阵列raidn ，讨论了系统的容错性，并提出了一种称为“顺推法”的奇偶效验位扩展算法。 - Three decoder architectures , parallel , serial and partially - parallel approaches , are analyzed in this thesis . a kind of novel partially - parallel architecture for decoding ldpc code is proposed . the trade - off between the performance of the decoder , hardware complexity and data throughout can be achieved with this partially - parallel architecture for the random parity check matrix
论文分析了三种不同的译码器结构:并行结构、串行结构以及部分并行结构,并提出了一种新颖的部分并行结构的ldpc译码器,较好地解决了当校验矩阵为随机结构时,译码性能、硬件资源和数据吞吐量平衡的问题。 - Also discussed the methods on how to realize the cwt both in time - domain and frequency - domain and how to design the gm - c bandpass filter used in realization of cwt . in order to optimize the performance of gm - c filter , linearization techniques are investigated and proposed . due to process variation and parasitics , an automatic tuning is designed for center frequency / 0 and quality factor q also , in this thesis , 16 - channel analogue cmos cwt circuit has been realized
论文围绕连续小波变换的模拟电路实现这一热点问题，讨论了连续小波变换的时域和频域实现方法；具体分析了并行结构与串行结构的优缺点；研究了频域法中的跨导-电容带通滤波器的设计；给出了改善跨导输入级传输特性的线性程度并扩大线性范围的具体方法；设计了片内自校正(可调谐)环节使滤波器参数自动调整到设计标准值；最后给出了16通道滤波器组实现小波变换的方法。 - This article also explains the operation principle and the structure characteristic of the automatic goal recognition system , designs the fictitious neural network system of many dsp parallel structure that used in fast goal discern , solves the key technology among the course of real - time goal recognition system ' s realization
阐述了自动目标识别系统的工作原理、结构特性，设计了用于快速目标识别的多dsp并行结构虚拟神经网络系统，解决了实时目标识别系统实现过程中的关键技术。