| 1. | Vhdl : very high speed integrated circuit hardware description language
超高速集成电路硬件描述语言 |
| 2. | Vhsic - very high speed integrated circuit
超高速集成电路 |
| 3. | Behavioural languages - part 3 - 3 : synthesis in vhdl
行为语言.第3 - 3部分:超高速集成电路硬件说明语言的综合性 |
| 4. | Capacitance extraction for power grid of high speed integrated circuits
高速集成电路电源网络的电容参数提取 |
| 5. | Very high speed integrated circuit
超高速集成电路 |
| 6. | Electromagnetic modeling and parameter extraction play an important role in 1c design and it is a foundation of the works later
因此，对互连和封装结构进行电磁建模和参数提取，对于高速集成电路设计具有重要的意义，它是一系列后续工作的基础。 |
| 7. | With the increasing signal frequency and decreasing feature size of modern high speed integrated circuits , interconnect transmission line is playing an increasingly important role
随着信号频率的增加和现代高速集成电路尺寸的减小，作为相互连接装置的传输线正在扮演着越来越重要的角色。 |
| 8. | ( 2 ) by using the " in - place " calculation and replacing the complex components , the size of the circuit was greatly reduced , these reforms also optimized the algorithm and added its possibilities for practical application
借助于高速集成电路硬件描述下语言vhdl ( 、殆ryhighspeedinte盯atedcireuithardwaredeseriptionlan罗age ) ，我们采用由顶向下( t叩一t 。 |
| 9. | In the software design part , the image encoding is realized with huffman encoding on the bubbling up sorting method for 256 gray - color values . the result of the encoding and encoding efficiency are displayed in the list box . in the hardware design part , on the basis of the characteristic and development of the embedded system hardware , the code joint is realized with the fpga and vhdl
在红外虚拟键盘的软件实现部分，采用哈夫曼（ huffman ）编码的方法实现了图像编码，利用冒泡法对256个灰度值进行排序，最后将编码结果以及编码效率等以列表框的形式显示；在硬件设计部分，基于目前嵌入式系统硬件的特点及发展，采用可在线修改的现场可编程门阵列fpga （ fieldprogrammablegatesarray ）技术以及高速集成电路硬件描述语言vhdl （ veryhighspeedintegratedcircuitshardwaredescriptionlanguage ）等方法实现图像处理中的码字拼接功能。 |
| 10. | And the controller based on vhdl ( very high speed integration circuit hardware description language ) was designed under the fpga ( field programmable gates array ) integration environment with the values gained from the train of the neural network using matlab
气动柔性手指神经网络控制器是在已经对气动柔性手指进行运动学和动力学分析的前提下，使用matlab对神经网络进行试训，依据训练所得的权值和阈值，在现场可编程门阵列集成环境下，基于超高速集成电路硬件描述语言完成的。 |
