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Description: radix-4,利用cordic算法实现复乘单元
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Size: 13243 |
Author: mikehonour@126.com |
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Description: 基4快速傅立叶变换的实现方法 ,有多种,没有加密-Radix-4 Fast Fourier Transform method, a combination of factors, not encrypted
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Size: 165888 |
Author: 鼎鼎 |
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Description: 基2基4基8以及分裂基的fft算法,代码效率很高。是难得一见的好代码。应用范围很广。-Radix-2-4-based 8 and split fft-based algorithm, a high code efficiency. Is a rare good code. Application of a very wide scope.
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Size: 76800 |
Author: 张强 |
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Description: 目录:
0、 约定
1、 无符号数一位乘法
2、 符号数一位乘法
3、 布思算法(Booth algorithm)
4、 高基(High Radix)布思算法
5、 迭代算法
6、 乘法运算的实现——迭代
7、 乘法运算的实现——阵列
8、 乘加运算
9、 设计示例1 —— 8位、迭代
1、 实现方案1 —— 一位、无符号
2、 实现方案2 —— 一位、布思
3、 实现方案3 —— 二位
10、设计示例2 —— 16位、阵列
11、设计示例3 —— 32位、 迭代、阵列
1、 实现方案1 —— 乘、加一步走
2、 实现方案2 —— 乘、加两步走-Contents : 0, an agreement, an unsigned multiplication number two, a few multiplication symbols 3, Andrew Bruce algorithm (Booth algorithm) 4. Gao (High Radix), Andrew Bruce algorithm 5, 6 iterative algorithm, the realization of multiplication-- iterative 7, Implementation of multiplication-- Array 8, multiply-add nine, design examples 1-- 8 spaces, an iterative, Implementation 1-- one, two unsigned achieve program 2-- 1, 3, Andrew Bruce, Implementation 3-- 2 10 design examples 2-- 16 spaces, 11 arrays, design examples 3-- 32 spaces, iterative, an array achieve program 1-- x, plus step two, achieving program 2-- x, plus two-step
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Size: 381952 |
Author: 少华 |
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Description: 基2FFT,是DFT(离散傅立叶变换)的快速算法-radix 2 FFT, DFT (Discrete Fourier Transform) Fast Algorithm
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Size: 1024 |
Author: Terry |
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Description: 此程式具有三种FFT演算法,分别是radix-2 radix-4 radix-8,可选择其中一种演算法,接着输入FFT点数,程式就会执行FFT/IFFT,可以藉此知道是否正确-This program has three FFT algorithms are radix-2 radix-4 radix-8, can choose one algorithm, and then enter the FFT points, the program will be the implementation of FFT/IFFT, can take this know whether this is correct
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Size: 2048 |
Author: 陈荣 |
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Description: 54x54-bit Radix-4 Multiplier
based on Modified Booth Algorithm
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Size: 750592 |
Author: 汤江逊 |
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Description: FFT算法的基本原理是把长序列的DFT逐次分解为较短序列的DFT。按照抽取方式的不同可分为DIT-FFT(按时间抽取)和DIF-FFT(按频率抽取)算法。按照蝶形运算的构成不同可分为基2、基4、基8以及任意因子(2n,n为大于1的整数),基2、基4算法较为常用。-FFT algorithm is the basic principle of DFT successive long sequence is broken down into shorter sequences of DFT. In accordance with the different extraction methods can be divided into the DIT-FFT (time taken) and the DIF-FFT (according to the frequency of extraction) algorithm. In accordance with the composition of different butterfly operations can be divided into base 2, base 4, base 8, as well as arbitrary factor (2n, n is an integer greater than 1), radix-2, Radix-4 algorithm is more commonly used.
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Size: 1024 |
Author: 李文 |
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Description: This paper shows the development of a 1024-point
radix-4 FFT VHDL core for applications in hardware signal processing, targeting low-cost FPGA technologies. The developed core is targeted into a Xilinx庐 Spartan鈩?3 XC3S200 FPGA with the inclusion of a VGA display interface and an external 16-bit data acquisition system for performance evaluation purposes. Several tests were performed in order to verify FFT core functionality, besides the time performance analysis highlights the core advantages over commercially available DSPs and Pentium-based PCs. The core is compared with similar third party IP cores targeting resourceful FPGA technologies. The novelty of this work is to provide a lowcost, resource efficient core for spectrum analysis
applications.
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Size: 456704 |
Author: alex |
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Description: VLSI implementation of high speed and high resolution FFT algorithm based on Radix 2 for DSP application
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Size: 247808 |
Author: bonjour |
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Description: Radix 4 Booth Multiplier
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Size: 201728 |
Author: photo26 |
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Description: 采用固定寻址方式的固定结构基4FFT仿真代码-Radix 4 FFT with fixed address structure
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Size: 9216 |
Author: timtian |
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Description: 用ADSP21062实现快速FFT基4算法
压缩包内有源代码和说明-In general, a radix-4 FFT will run faster than radix-2 FFT but will take up
more space and has more restrictions on the length of the FFT. Specifically,
all radix-2 FFT routines will take data lengths that are any power of two
(>= 32 points) while complex radix-4 routines will only take data lengths that
are a power of four (>= 64).
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Size: 84992 |
Author: 防止 |
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Description: 用TI DSP芯片TMS320C6000实现FFT算法
内含程序代码和说明 The radix-4 FFT-Fixed-point digital signal processors (DSPs) have limited dynamic range to deal with digital
data. This application report proposes a scheme to test and scale the result output from each
Fast Fourier Transform (FFT) stage in order to fix the accumulation overflow. The radix-4 FFT
algorithm is selected since it provides fewer stages than radix-2 algorithm. Thus, the scaling
operations are minimized. This application report is organized as follows:
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Size: 53248 |
Author: 防止 |
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Description: This Radix 4 FFT algorithm developed in Matlab.this code give all stages of Radix4 FFT algorithm-This is Radix 4 FFT algorithm developed in Matlab.this code give all stages of Radix4 FFT algorithm
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Size: 3072 |
Author: sunil |
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Description: 一个用于ARM的基4/基5定点FFT算法,原作者是JDB,后来我扩展过16和256点的计算并用在项目中了,感觉速度还不错。现在重写了基于Linux GCC4的测试程序,可供使用者评估参考。建议安装FFTW3用来精确评估测试结果,相关范例已经在代码中了。-Radix 4/5 FFT routines supporting 16/64/256 and 20/80 calculations. The source originally contributed by JDB, I had extended 16 and 256 candidates and used it in our project it has been verified as fast and stable. Now we add some test vectors running on Linux with GCC 4 for testers who want to use or just evaluate it. Installing FFTW3 is recommended for evaluating the code exactly.
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Size: 242688 |
Author: Tony Gibson |
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Description: fft radix-4 VHDL for expanding to any fourier transform
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Size: 1024 |
Author: delta |
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Description: This book is ERICSSON documentation "FFT, REALIZATION AND IMPLEMENTATION IN FPGA".
Book includes some theoretical information about FFT Radix-2 and Radix-4, and also VHDL and Matlab code.
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Size: 297984 |
Author: Anta |
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Description: FPGA Implementation ofLow Power 64-Point
Radix-4 FFT Processor for OFDM System
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Size: 145408 |
Author: rams |
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Description: Implementing the Radix-4 Decimation
in Frequency (DIF) Fast Fourier
Transform (FFT) Algorithm Using a
TMS320C80 DSP
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Size: 150528 |
Author: seojinwon |
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