The EBCOT design USES parallel processing and dynamic memory control (DMC) architecture, which greatly speeds up the coding process and achieves higher hardware utilization.
EBCOT采用的并行运算和动态内存控制(DMC)结构，在保证编码速度的前提下，最大限度减小了片内小波系数缓存量和访问频率。
The design of the hardware platform adopts the Helmholtz configuration, this parallel mechanical architecture solves the problem that motors is the load for each other.
硬件平台设计采用了霍尔姆茨结构，这种平行的机械结构解决了电机互为负载的问题。
This paper presents a plan for the architecture of a parallel database machine based on the special hardware, SADM.
本文提出了一种基于专用硬件的并行数据库机体系结构SADM方案。
This thesis achieves the following three innovative results: 1 the thesis presents a new parallel array 2-d discrete wavelet transform DWT hardware architecture based on lifting schemes.
以下是本文的三个创新性成果：1设计了一种并行阵列式二维离散小波变换DWT提升格式的硬件结构。
In this paper, a hardware-oriented, full pass-parallel coding architecture is presented, based on only one scanning window. This architecture is verified on FPGA.
该文设计出一种适用于硬件实现的单窗口全通道并行编码结构，目前已通过FPGA验证。
After the detailed analysis of EBCOT algorithm and pass-parallel coding technique, a dual context window bit-parallel coding method and its architecture for hardware implementation are proposed.
通过研究EBCOT编码原理和通道并行算法的编码过程，提出了双上下文窗口位并行的EBCOT系数位建模方法，详细说明了使用该算法的系数位建模系统的硬件结构。
Neural network possesses many of advantages : simple structure, easy implementation in hardware, the basic parallel computational architecture, etc.
人工神经网络的特点是：结构简单、能够大规模并行、容易用硬件实现等。
According to the structure of Quasi-Cyclic LDPC code, we can make a trade-off between hardware complexity and decoding throughput by applying semi-parallel architecture.
利用准循环ldpc码的结构特点，使用半并行结构的译码器可以实现复杂度和译码速率的有效折中。
The algorithm has lower complexities and good parallel architecture, and is suitable for the high-speed low-power hardware realization and real-time processing.
该算法复杂度低，并行性好，支持高速低功耗硬件实现，能实现对空间数据的实时处理，在空间探测领域具有良好的应用前景。
The algorithm has lower complexities and good parallel architecture, and is suitable for the high-speed low-power hardware realization and real-time processing.
该算法复杂度低，并行性好，支持高速低功耗硬件实现，能实现对空间数据的实时处理，在空间探测领域具有良好的应用前景。
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