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Counterflow-Pipelined

  • A Scalable Counterflow-Pipelined Asynchronous Radix-4 Booth Multiplier

    A Scalable Counterflow-Pipelined Asynchronous Radix-4 Booth Multiplier

    标签: Counterflow-Pipelined Asynchronous Multiplier Scalable

    上传时间: 2014-01-04

    上传用户:jjj0202

  • Self timed pipelined adder

    Self timed pipelined adder

    标签: pipelined timed adder Self

    上传时间: 2014-01-10

    上传用户:lgnf

  • Computer Architecture pipelined implementation simulator

    Computer Architecture pipelined implementation simulator

    标签: implementation Architecture pipelined simulator

    上传时间: 2016-03-18

    上传用户:sy_jiadeyi

  • On a distributed algorithm based on FPGA pipelined FIR filter of the article.

    On a distributed algorithm based on FPGA pipelined FIR filter of the article.

    标签: distributed algorithm pipelined article

    上传时间: 2017-08-18

    上传用户:liuchee

  • 带有增益提高技术的高速CMOS运算放大器设计

    设计了一种用于高速ADC中的高速高增益的全差分CMOS运算放大器。主运放采用带开关电容共模反馈的折叠式共源共栅结构,利用增益提高和三支路电流基准技术实现一个可用于12~14 bit精度,100 MS/s采样频率的高速流水线(Pipelined)ADC的运放。设计基于SMIC 0.25 μm CMOS工艺,在Cadence环境下对电路进行Spectre仿真。仿真结果表明,在2.5 V单电源电压下驱动2 pF负载时,运放的直流增益可达到124 dB,单位增益带宽720 MHz,转换速率高达885 V/μs,达到0.1%的稳定精度的建立时间只需4 ns,共模抑制比153 dB。

    标签: CMOS 增益提高 运算 放大器设计

    上传时间: 2014-12-23

    上传用户:jiiszha

  • 一种增益增强型套筒式运算放大器的设计

    设计了一种用于高速ADC中的全差分套筒式运算放大器.从ADC的应用指标出发,确定了设计目标,利用开关电容共模反馈、增益增强等技术实现了一个可用于12 bit精度、100 MHz采样频率的高速流水线(Pipelined)ADC中的运算放大器.基于SMIC 0.13 μm,3.3 V工艺,Spectre仿真结果表明,该运放可以达到105.8 dB的增益,单位增益带宽达到983.6 MHz,而功耗仅为26.2 mW.运放在4 ns的时间内可以达到0.01%的建立精度,满足系统设计要求.

    标签: 增益 增强型 运算放大器

    上传时间: 2013-10-16

    上传用户:563686540

  • DFT(Discrete Fourier Transformation)是数字信号分析与处理如图形、语音及图像等领域的重要变换工具

    DFT(Discrete Fourier Transformation)是数字信号分析与处理如图形、语音及图像等领域的重要变换工具,直接计算DFT的计算量与变换区间长度N的平方成正比。当N较大时,因计算量太大,直接用DFT算法进行谱分析和信号的实时处理是不切实际的。快速傅立叶变换(Fast Fourier Transformation,简称FFT)使DFT运算效率提高1~2个数量级。其原因是当N较大时,对DFT进行了基4和基2分解运算。FFT算法除了必需的数据存储器ram和旋转因子rom外,仍需较复杂的运算和控制电路单元,即使现在,实现长点数的FFT仍然是很困难。本文提出的FFT实现算法是基于FPGA之上的,算法完成对一个序列的FFT计算,完全由脉冲触发,外部只输入一脉冲头和输入数据,便可以得到该脉冲头作为起始标志的N点FFT输出结果。由于使用了双ram,该算法是流型(Pipelined)的,可以连续计算N点复数输入FFT,即输入可以是分段N点连续复数数据流。采用DIF(Decimation In Frequency)-FFT和DIT(Decimation In Time)-FFT对于算法本身来说是无关紧要的,因为两种情况下只是存储器的读写地址有所变动而已,不影响算法的结构和流程,也不会对算法复杂度有何影响。

    标签: Transformation Discrete Fourier DFT

    上传时间: 2016-04-12

    上传用户:lx9076

  • VHDL implementation of the twofish cipher for 128,192 and 256 bit keys. The implementation is in li

    VHDL implementation of the twofish cipher for 128,192 and 256 bit keys. The implementation is in library-like form All needed components up to, including the round/key schedule circuits are implemented, giving the flexibility to be combined in different architectures (iterative, rolled out/pipelined etc). Manual in English is included with more details about how to use the components and/or how to optimize some of them. All testbenches are provided (tables, variable key/text, ECB/CBC monte carlo) for 128, 192 and 256 bit key sizes, along with their respective vector files.

    标签: implementation twofish cipher VHDL

    上传时间: 2017-06-25

    上传用户:王小奇

  • In communication systems channel poses an important role. channels can convolve many different kind

    In communication systems channel poses an important role. channels can convolve many different kind of distortions to our information. In perticular wireless channels multipath distortion is sevear. and more sevear is such distortion is random. To handle this, multipath affected channels require Equalizers at receaver end. such equalizer uses different learning Algorithms for identifying channels continuously. This project is VHDL implementation of LMS learning algorithm with pipelined architecture. so this implementation can work with higher data rates with less clock speed requirments and so with less power consumpiton It uses Fixed point arithmatic blocks for filtering so suitable for coustom asic.

    标签: communication important different channels

    上传时间: 2013-12-08

    上传用户:litianchu

  • The Hilbert Transform is an important component in communication systems, e.g. for single sideband m

    The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented. The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940). The design is fully pipelined for maximum throughput.

    标签: e.g. communication Transform important

    上传时间: 2017-06-25

    上传用户:gxf2016