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    16 POINT FFT BUTTERFLY Search Results

    16 POINT FFT BUTTERFLY Result Highlights (5)

    Part ECAD Model Manufacturer Description Download Buy
    DFE2016CKA-1R0M=P2 Murata Manufacturing Co Ltd Fixed IND 1uH 1800mA NONAUTO Visit Murata Manufacturing Co Ltd
    LQW18CN55NJ0HD Murata Manufacturing Co Ltd Fixed IND 55nH 1500mA POWRTRN Visit Murata Manufacturing Co Ltd
    LQW18CNR56J0HD Murata Manufacturing Co Ltd Fixed IND 560nH 450mA POWRTRN Visit Murata Manufacturing Co Ltd
    DFE322520F-2R2M=P2 Murata Manufacturing Co Ltd Fixed IND 2.2uH 4400mA NONAUTO Visit Murata Manufacturing Co Ltd
    LQW18CN4N9D0HD Murata Manufacturing Co Ltd Fixed IND 4.9nH 2600mA POWRTRN Visit Murata Manufacturing Co Ltd

    16 POINT FFT BUTTERFLY Datasheets Context Search

    Catalog Datasheet MFG & Type Document Tags PDF

    CS2411

    Abstract: CS2411TK CS2411XV DS2411
    Text: CS2411 1024 Point Block Based FFT/IFFT Preliminary Datasheet TM Virtual Components for the Converging World The CS2411 is an online programmable, block-based architecture 1024-point FFT/IFFT core. It is based on a radix4 / radix-16 algorithm that performs FFT/IFFT computation in four computation passes. This highly integrated


    Original     		CS2411 CS2411 1024-point radix-16 1024-word DS2411 CS2411TK CS2411XV PDF

    parallel Multiplier Accumulator based on Radix-2

    Abstract: DS3707 PDSP16116 PDSP16116A PDSP16318A subtractor using TTL CMOS GG144 4 bit binary full adder and subtractor 32-bit adder block diagram for barrel shifter
    Text: PDSP16116 16 X 16 Bit Complex Multiplier Supersedes October 1996 version, DS3707 - 4.2 The PDSP16116 contains four 16316 array multipliers, two 32-bit adder/subtractors and all the control logic required to support Block Floating Point Arithmetic as used in FFT applications.


    Original     		PDSP16116 DS3707 PDSP16116 32-bit PDSP16116A PDSP16318A, 20MHz 20-bit parallel Multiplier Accumulator based on Radix-2 PDSP16318A subtractor using TTL CMOS GG144 4 bit binary full adder and subtractor 32-bit adder block diagram for barrel shifter PDF

    YR13

    Abstract: PDSP16116
    Text: PDSP16116 16 X 16 Bit Complex Multiplier DS3707 The PDSP16116 contains four 16316 array multipliers, two 32-bit adder/subtractors and all the control logic required to support Block Floating Point Arithmetic as used in FFT applications. The PDSP16116A variant will multiply two complex 16116


    Original     		PDSP16116 DS3707 PDSP16116 32-bit PDSP16116A PDSP16318A, 20MHz 20-bit YR13 PDF

    FULL SUBTRACTOR using 41 MUX

    Abstract: PDSP16318A MIL-883 PDSP16116 PDSP16116A 32 bit barrel shifter circuit diagram using mux DIODE bfp 86 GC144 YR13
    Text: PDSP16116 16 X 16 Bit Complex Multiplier DS3707 The PDSP16116 contains four 16316 array multipliers, two 32-bit adder/subtractors and all the control logic required to support Block Floating Point Arithmetic as used in FFT applications. The PDSP16116A variant will multiply two complex 16116


    Original     		PDSP16116 DS3707 PDSP16116 32-bit PDSP16116A PDSP16318A, 20MHz 20-bit FULL SUBTRACTOR using 41 MUX PDSP16318A MIL-883 32 bit barrel shifter circuit diagram using mux DIODE bfp 86 GC144 YR13 PDF

    3B DAV

    Abstract: PDSP16256 PDSP16330 PDSP16350 PDSP16510 PDSP16510A PDSP16540
    Text: PDSP16510A PDSP16510A Stand Alone FFT Processor DS3475 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3475 PDSP16510 3B DAV PDSP16256 PDSP16330 PDSP16350 PDSP16510A PDSP16540 PDF

    3B DAV

    Abstract: PDSP16256 PDSP16330 PDSP16350 PDSP16510 PDSP16510A PDSP16540
    Text: PDSP16510A PDSP16510A Stand Alone FFT Processor DS3475 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3475 PDSP16510 3B DAV PDSP16256 PDSP16330 PDSP16350 PDSP16510A PDSP16540 PDF

    3B DAV

    Abstract: PDSP16256 PDSP16330 PDSP16350 PDSP16510 PDSP16510A PDSP16540
    Text: PDSP16510A PDSP16510A Stand Alone FFT Processor DS3475 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3475 PDSP16510 3B DAV PDSP16256 PDSP16330 PDSP16350 PDSP16510A PDSP16540 PDF

    3B DAV

    Abstract: dav datasheet PDSP16256 PDSP16330 PDSP16350 PDSP16510 PDSP16510A PDSP16540
    Text: PDSP16510A PDSP16510A Stand Alone FFT Processor DS3475 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3475 PDSP16510 3B DAV dav datasheet PDSP16256 PDSP16330 PDSP16350 PDSP16510A PDSP16540 PDF

    PDSP16330

    Abstract: PDSP16510 PDSP16510A
    Text: PDSP16510A MA PDSP16510A MA Stand Alone FFT Processor Advance Information DS3762 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3762 PDSP16510 PDSP16330 PDF

    PDSP16330

    Abstract: PDSP16510 PDSP16510A DIS1024S
    Text: PDSP16510A MA PDSP16510A MA Stand Alone FFT Processor Advance Information DS3762 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3762 PDSP16510 PDSP16330 DIS1024S PDF

    3B DAV

    Abstract: PDSP16330 PDSP16510 PDSP16510A
    Text: PDSP16510A MA PDSP16510A MA Stand Alone FFT Processor Advance Information DS3762 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3762 PDSP16510 3B DAV PDSP16330 PDF

    Untitled

    Abstract: No abstract text available
    Text: PDSP16510A MA PDSP16510A MA Stand Alone FFT Processor Advance Information DS3762 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3762 PDSP16510 PDF

    3B DAV

    Abstract: PDSP16510 timing PDSP16330 PDSP16510 PDSP16510A
    Text: PDSP16510A MA PDSP16510A MA Stand Alone FFT Processor Advance Information DS3762 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficients are each represented by 16 bits, with block floating point arithmetic for increased


    Original     		PDSP16510A DS3762 PDSP16510 3B DAV PDSP16510 timing PDSP16330 PDF

    variable length fft processor

    Abstract: 1Kx32
    Text: AB35 AB35 Implementing Large and Non-Standard Transforms Application Brief AB35 - 1.0 February 1994 BACKGROUND The PDSP16510 is a stand-alone FFT Processor which performs 16, 64, 256, or 1024 point FFT's with input sampling rates of up to 40MHz - typically an order of magnitude faster than programmable DSP parts. A single device can window and transform


    Original     		PDSP16510 40MHz variable length fft processor 1Kx32 PDF

    AN47

    Abstract: PDSP1601A PDSP16112 PDSP16112A PDSP16318A PDSP16510 PDSP16540
    Text: AB35 AB35 Implementing Large and Non-Standard Transforms Application Brief AB35 ISSUE 1.0 February 1994 BACKGROUND The PDSP16510 is a stand-alone FFT Processor which performs 16, 64, 256, or 1024 point FFT's with input sampling rates of up to 40MHz - typically an order of magnitude faster than programmable DSP parts. A single device can window and transform


    Original     		PDSP16510 40MHz AN47 PDSP1601A PDSP16112 PDSP16112A PDSP16318A PDSP16540 PDF

    AN47

    Abstract: PDSP1601A PDSP16112 PDSP16112A PDSP16318A PDSP16510 PDSP16540
    Text: AB35 AB35 Implementing Large and Non-Standard Transforms Application Brief AB35 - 1.0 February 1994 BACKGROUND The PDSP16510 is a stand-alone FFT Processor which performs 16, 64, 256, or 1024 point FFT's with input sampling rates of up to 40MHz - typically an order of magnitude faster than programmable DSP parts. A single device can window and transform


    Original     		PDSP16510 40MHz AN47 PDSP1601A PDSP16112 PDSP16112A PDSP16318A PDSP16540 PDF

    1q15

    Abstract: radix-2 DIT FFT C code BUTTERFLY DSP xc2000 instruction set 16 point Fast Fourier Transform radix-2 16 point DIF FFT using radix 4 fft application of radix 2 inverse dif fft fft algorithm XE166 AP16119
    Text: Application Note, V1.1, October 2007 AP16119 XC2000 & XE166 Families Fast Fourier Transform Based on XC2000 & XE166 Microcontroller Families Microcontrollers Edition 2007-10 Published by Infineon Technologies AG 81726 Munich, Germany 2007 Infineon Technologies AG


    Original     		AP16119 XC2000 XE166 DISCLAIC166Lib, XC166 16-Bit C166S 1q15 radix-2 DIT FFT C code BUTTERFLY DSP xc2000 instruction set 16 point Fast Fourier Transform radix-2 16 point DIF FFT using radix 4 fft application of radix 2 inverse dif fft fft algorithm AP16119 PDF

    TRANSISTOR C 6090

    Abstract: TRANSISTOR C 6090 EQUIVALENT k 4110 C 6090 M 2 N 50 60 fft algorithm 1024-Point block diagram OF pentium 2 me 6100 butterfly "bit reverse"
    Text: CHAPTER 12 The Fast Fourier Transform There are several ways to calculate the Discrete Fourier Transform DFT , such as solving simultaneous linear equations or the correlation method described in Chapter 8. The Fast Fourier Transform (FFT) is another method for calculating the DFT. While it produces the same


    Original     		PDF

    vhdl code for radix-4 fft

    Abstract: vhdl code for FFT 4096 point vhdl code for FFT 16 point fft matlab code using 16 point DFT butterfly matlab code for radix-4 fft ep3sl70f780 VHDL code for radix-2 fft matlab code using 64 point radix 8 5SGXE 2 point fft butterfly verilog code
    Text: FFT MegaCore Function User Guide FFT MegaCore Function User Guide 101 Innovation Drive San Jose, CA 95134 www.altera.com UG-FFT-11.1 Subscribe 2011 Altera Corporation. All rights reserved. ALTERA, ARRIA, CYCLONE, HARDCOPY, MAX, MEGACORE, NIOS, QUARTUS and STRATIX words and logos


    Original     		UG-FFT-11 vhdl code for radix-4 fft vhdl code for FFT 4096 point vhdl code for FFT 16 point fft matlab code using 16 point DFT butterfly matlab code for radix-4 fft ep3sl70f780 VHDL code for radix-2 fft matlab code using 64 point radix 8 5SGXE 2 point fft butterfly verilog code PDF

    radix-4 DIT FFT C code

    Abstract: DS260 radix-2 fft xilinx DS-260 radix-2 2048 point xilinx XC2V3000 XC2VP20 radix4
    Text: Fast Fourier Transform v2.0 DS260 v2.0 July 14, 2003 Features • Drop-in module for Virtex -II, Virtex-II Pro™, and Spartan™-3 FPGAs • Forward and inverse complex FFT • Transform sizes N = 2m, m = 4 – 14 • Data sample precision bx = 8,12,16,20,24


    Original     		1024-point DS260 radix-4 DIT FFT C code DS260 radix-2 fft xilinx DS-260 radix-2 2048 point xilinx XC2V3000 XC2VP20 radix4 PDF

    xc6slx150t

    Abstract: STR Y 6763 64 point FFT radix-4 VHDL documentation 16 point FFT radix-4 VHDL documentation verilog code for radix-4 complex fast fourier transform radix-2 DIT FFT vhdl program fft matlab code using 8 point DIT butterfly str 1096 XC6VLX75T vhdl code for simple radix-2
    Text: LogiCORE IP Fast Fourier Transform v8.0 DS808 July 25, 2012 Product Specification Introduction LogiCORE IP Facts The Xilinx LogiCORE IP Fast Fourier Transform FFT implements the Cooley-Tukey FFT algorithm, a computationally efficient method for calculating the


    Original     		DS808 xc6slx150t STR Y 6763 64 point FFT radix-4 VHDL documentation 16 point FFT radix-4 VHDL documentation verilog code for radix-4 complex fast fourier transform radix-2 DIT FFT vhdl program fft matlab code using 8 point DIT butterfly str 1096 XC6VLX75T vhdl code for simple radix-2 PDF

    bay14

    Abstract: No abstract text available
    Text: ANALOG DEVICES FEATURES 16x16-Bit Parallel Multiplication / 40-Blt Accumulation 60ns Cycle Time Can Support 2.4ms 1024-Point Complex FFT with Block Floating-Point 40-Blt Adder/Subtracter with Status Flags 16-Bit Logic Unit Dual 40-Blt Accumulators with Status Flags


    OCR Scan     		16x16-Bit 40-Blt 1024-Point 16-Bit 32-Blts-Per-Cycie Z19-16 bay14 PDF

    mz 73 b

    Abstract: No abstract text available
    Text: ANALOG DEVICES □ FEATURES 16x16-Blt Parallel Multiplication / 40-Bit Accumulation 80ns Cycle Time Can Support 2.4ms 1024-Point Complex FFT with Block Floating-Point 40-Blt Adder/Subtracter with Status Flags 16-Blt Logic Unit Dual 40-Blt Accumulators with Status Flags


    OCR Scan     		P-110 16x16-Blt 40-Bit 1024-Point 40-Blt 16-Blt 32-Bits-Per-Cycle 16-Bit Z19-16 mz 73 b PDF

    FBA001

    Abstract: ADSP-1401 as15 G mz-31 as3932 AS150 as31 equivalent AD8P-1101 ADSP-3128 32 adder complement
    Text: ANALOG DEVICES □ FEATURES 16x16-Blt Parallel Multiplication / 40-Bit Accumulation 80ns Cycle Time Can Support 2.4ms 1024-Point Complex FFT with Block Floating-Point 40-Blt Adder/Subtracter with Status Flags 16-Bit Logic Unit Dual 40-Blt Accumulators with Status Flags


    OCR Scan     		ADSP-1101 16x16-Blt 40-Bit 1024-Polnt 40-Blt 16-Bit 32-Bits-Per-Cycle Z19-16 FBA001 ADSP-1401 as15 G mz-31 as3932 AS150 as31 equivalent AD8P-1101 ADSP-3128 32 adder complement PDF