搜索资源列表
ordering5
- 基数排序：思想:先从数据的低位开始,进行分配,分成10个空间,分别存储位为,0,1,2,3...9 重复的对次地位操作,知道预定的高位,排序完成-Radix Sort: thinking: from data low starting distribution, divided into 10 space, storage spaces, respectively, for 0,1,2,3 ... repeated 9 times
radix4_multiplier
- 54x54-bit Radix-4 Multiplier based on Modified Booth Algorithm
fft
- 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
vhdlfft4
- 基4算法的vhdl实现，蝶形变换等的详细设计-Radix-4 algorithm of VHDL realize, butterfly transform the detailed design, etc.
VLSIFFTRadix2forDSP
- VLSI implementation of high speed and high resolution FFT algorithm based on Radix 2 for DSP application
XRadixSort_Swap
- 2009 英特尔® 线程挑战赛—基数排序 使用tbb进行了并行优化 速度很快-Parallel Radix Sort Source
fft64
- 64-point radix-2 fft module
fft256
- 256-point radix-2 fft
FFT
- radix 2 fft algorithm code
RADIX
- radix sort with c++ komeil
BoothMultiplier4
- Radix 4 Booth Multiplier
Radix123
- radix sort please accept now mai too tr-radix sort please accept now mai too tree
Split_radix
- FFT的分裂基算法，很详细的注释，花了两天的时间。希望对大家有帮助-The Split-radix FFT algorithm, a very detailed notes, spent a couple of days. We want to help
fixed_struc_radix4_fft
- 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
fft_hdl
- 一个 16点 FFT 用基2蝶形运算单元完成，有测试环境。-16 points FFT with a radix-2 butterfly computation unit is completed and test environment.
fft_1024_hdl
- 一个 1024 点 FFT ， 基 4 蝶形运算架构， 5级流水，乒乓内存，有测试环境。-A 1024-point FFT, Radix-4 butterfly structure operation, five water, ping-pong memory, a test environment.
algoprograms
- bucket sort and radix sort
RADIX4
- 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
fft-arm
- 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 con
radix
- 实现了在多处理器上可运行的矩阵相乘的程序-Achieved in a multi-processor run of the matrix multiplication program