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
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PDSP16510A
DS3475
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PDSP16330
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PDSP16540
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DSP56200
Abstract: adaptive FILTER implementation in c language fixed point goertzel GOERTZEL ALGORITHM SOURCE CODE DSP56K IIR FILTER implementation in c language GOERTZEL ALGORITHM SOURCE CODE for dtmf in c iir adaptive Filter using of lms algorithm Motorola DSP56200 LMS adaptive filter
Text: SECTION 11 ADDITIONAL SUPPORT Motorola ola DSP Audio: Codec Routines: DTMF Routines: Fast Fourier Transforms: Filters: Floating-Point Routines: Functions: Lattice Filters: Matrix Operations: Reed-Solomon Encoder: Sorting Routines: Speech: Standard I/O Equates:
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DSP56000CLASx
DSP56000ADSx
891-3098wrence
DSP56200
adaptive FILTER implementation in c language
fixed point goertzel
GOERTZEL ALGORITHM SOURCE CODE
DSP56K
IIR FILTER implementation in c language
GOERTZEL ALGORITHM SOURCE CODE for dtmf in c
iir adaptive Filter using of lms algorithm
Motorola DSP56200
LMS adaptive filter
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16 point DIF FFT using radix 4 fft
Abstract: fft algorithm cosin 64 point FFT radix-4 BUTTERFLY DSP spra152 16 point DIF FFT using radix 2 fft TMS320C80 radix-4 ALU flow chart
Text: Implementing the Radix-4 Decimation in Frequency DIF Fast Fourier Transform (FFT) Algorithm Using a TMS320C80 DSP APPLICATION REPORT: SPRA152 Author: Charles Wu SC Sales & Marketing – TI Taiwan Digital Signal Processing Solutions January 1998 IMPORTANT NOTICE
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TMS320C80
SPRA152
16 point DIF FFT using radix 4 fft
fft algorithm
cosin
64 point FFT radix-4
BUTTERFLY DSP
spra152
16 point DIF FFT using radix 2 fft
radix-4
ALU flow chart
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vhdl for 8 point fft
Abstract: 8 bit data bus using vhdl Fourier transform EPF10K100
Text: fft_on_chip Fast Fourier Transform April 1997, ver. 1 Features Functional Specification 7 • ■ ■ ■ ■ General Description Uses the Altera® fft MegaCore function Optimized for the Altera FLEX® 10K device architecture Uses FLEX 10K embedded array blocks EABs to store both data and
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A55B
Abstract: 8A31 AN-084 how dsp is used in radar how to test fft megacore
Text: Implementing fft with On-Chip RAM in FLEX 10K Devices February 1998, ver. 3 Introduction Application Note 84 The fast Fourier transform FFT function forms the fundamental building block in many digital signal processing (DSP) applications, including communications, voice recognition, spectrum analysis, quadrature
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Fourier transform
Abstract: No abstract text available
Text: CHAPTER The Complex Fourier Transform 31 Although complex numbers are fundamentally disconnected from our reality, they can be used to solve science and engineering problems in two ways. First, the parameters from a real world problem can be substituted into a complex form, as presented in the last chapter. The second
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linear image sensor
Abstract: c code for convolution linear convolution low pass filter circuit 741 image processing 12 line ccd scanner 2 way lighting circuit 741 OP Amp Brain wave signal sensor CCD linear array
Text: CHAPTER 24 Linear Image Processing Linear image processing is based on the same two techniques as conventional DSP: convolution and Fourier analysis. Convolution is the more important of these two, since images have their information encoded in the spatial domain rather than the frequency domain. Linear filtering can
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radix-2
Abstract: 64 point radix 4 FFT 37021 ADSP-2100A 64 point radix 2 FFT radix4
Text: 6 One-Dimensional FFTs 6.7 LEAKAGE The input to an FFT is not an infinite-time signal as in a continuous Fourier transform. Instead, the input is a section a truncated version of a signal. This truncated signal can be thought of as an infinite signal multiplied by a rectangular function. For a DFT, the product of the signal
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radix-2
64 point radix 4 FFT
37021
ADSP-2100A
64 point radix 2 FFT
radix4
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radix-2 dit fft flow chart
Abstract: 16 point DFT butterfly graph radix-2 radix-4 DIT FFT C code Butterfly Diode Y1 two butterflies Two Digit counter ADSP-2100
Text: 6 One-Dimensional FFTs 6.1 OVERVIEW In many applications, frequency analysis is necessary and desirable. Applications ranging from radar to spread-spectrum communications employ the Fourier transform for spectral analysis and frequency domain processing. The discrete Fourier transform DFT is the discrete-time equivalent of the
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linear convolution
Abstract: AB-146 ADS1201 ADS1201U OPA177GS XC4010E 10FFT
Text: USING THE ADS1201 EVALUATION BOARD By Saeid Jannesari FEATURES ● EASY INSTALLATION AND USE ● ON BOARD SINC3 DIGITAL FILTER WITH PROGRAMMABLE MODULATOR CLOCK AND DECIMATION RATIO ● RETRIEVES FILTER OUTPUT DATA INTO PC FOR ANALYSIS AND DISPLAY ● PERFORMS FOURIER TRANSFORMS ON COLLECTED DATA
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ADS1201
ADS1201U
XC4010E
linear convolution
AB-146
OPA177GS
10FFT
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W814
Abstract: W820 W830 adsp 21xx fft calculation w849 w842 16 point DIF FFT using radix 4 fft W808 32 point fast Fourier transform using floating point DFT radix
Text: FAST FOURIER TRANSFORMS SECTION 5 FAST FOURIER TRANSFORMS • The Discrete Fourier Transform ■ The Fast Fourier Transform ■ FFT Hardware Implementation and Benchmarks ■ DSP Requirements for Real Time FFT Applications ■ Spectral Leakage and Windowing
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ADSP-2100
ADSP-21000
W814
W820
W830
adsp 21xx fft calculation
w849
w842
16 point DIF FFT using radix 4 fft
W808
32 point fast Fourier transform using floating point
DFT radix
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TTC 103 thermistor
Abstract: sun Sensor satellite bolometer sensor bolometer thermopile array "SUN SENSOR" SUN SENSOR solar panels at satellites earth sensor heart rate monitor using op-amp
Text: AEROSPACE PRODUCTS SIGNAL CHAIN GUIDE AEROSPACE PRODUCT LINE TABLE OF CONTENTS Introduction Communication Payloads x Block Diagram Of A Typical Spacecraft x A Signal Chain for Transponders with on-board processing -–Fast Fourier Transform x A Signal Chain for A Transponder with on-board
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OP270
OP200
OP400
AD585
SMP11
MUX08
MUX16
AD574
AD1671
AD589
TTC 103 thermistor
sun Sensor satellite
bolometer sensor
bolometer
thermopile array
"SUN SENSOR"
SUN SENSOR
solar panels at satellites
earth sensor
heart rate monitor using op-amp
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MPC7400
Abstract: No abstract text available
Text: Application Note AN2114/D Rev. 2 1/2002 Complex Fixed-Point Fast Fourier Transform Optimization for AltiVec This document compares the performance of fast Fourier transform FFT with and without AltiVec technology to demonstrate how mathematically-intensive code can be adapted for
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fft basic
Abstract: Split-Radix
Text: Application Note 020 Fast Fourier Transforms and Power Spectra in LabWindows J. Pasquarette Introduction This application note explains how to build a signal-processing application with the LabWindows Advanced Analysis Library functions. The steps involved include finding the Fast Fourier Transform
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ASSP34
fft basic
Split-Radix
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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
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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
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Fourier transform
Abstract: fast fourier transform TMS32020 spra122 TMS320 Fourier transform
Text: Implementation of Fast Fourier Transform Algorithms with the TMS32020 APPLICATION REPORT: SPRA122 Authors: Panos Papamichalis Digital Signal Processing – Semiconductor Group John So Atlanta Regional Technology Digital Signal Processing Solutions 1989 IMPORTANT NOTICE
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fast fourier transform
spra122
TMS320
Fourier
transform
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vhdl code for radix-4 fft
Abstract: vhdl code for 16 point radix 2 FFT vhdl code for FFT 32 point TMS320C6416 DSP Starter Kit DSK vhdl code for radix 2-2 parallel FFT 16 point verilog code for FFT 32 point verilog code 16 bit processor fft vhdl source code for fft verilog code for 64 point fft Altera fft megacore
Text: FFT Co-Processor Reference Design Application Note 363 October 2004 ver. 1.0 Introduction f The Fast Fourier Transform FFT co-processor reference design demonstrates the use of an Altera FPGA as a high-performance digital signal processing (DSP) co-processor to the Texas Instruments
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vhdl code for radix-4 fft
vhdl code for 16 point radix 2 FFT
vhdl code for FFT 32 point
TMS320C6416 DSP Starter Kit DSK
vhdl code for radix 2-2 parallel FFT 16 point
verilog code for FFT 32 point
verilog code 16 bit processor fft
vhdl source code for fft
verilog code for 64 point fft
Altera fft megacore
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MCP3004
Abstract: standalone data acquisition system for pic
Text: MXDEV 1 Analog Evaluation System Features: A versatile and easy-to-use tool! This Analog Evaluation System gives system designers the ability to control Microchip stand-alone analog devices, acquire data and then analyze the data using stripcharts, histograms and Fast Fourier Transforms FFTs . User-friendly
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MCP3201/02
MCP3204/08.
DV3204A
DS50028B
MCP3004
standalone data acquisition system for pic
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TDC1010
Abstract: "multiplier accumulator" TSX-11 16x16 multiplier tsl-3 IDT7210 ma7010 Marconi radiation hard
Text: MA7010 Marconi Electronic Devices D. + . u. .on ^ a r . ^ A ccum u|ator Signal S lic e T M APPLICATIO NS FEATU RES • Radiation Hard To 1 MRad (Si) • Fast Fourier transform processing • H igh SEU im m unity, Latch-up free • Array processing • Silicon-on-Sapphire technology
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IDT7210
TDC1010
MA7010
16x16
MIL-M-38510
"multiplier accumulator"
TSX-11
16x16 multiplier
tsl-3
ma7010
Marconi radiation hard
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Untitled
Abstract: No abstract text available
Text: AMI S2814A FAST FOURIER TRANSFORMER Features G eneral D escription □ Based on AMI’s Signal Processing Peripheral Chip S2811 The AMI S2814A F a st Fourier Transformer is a pre programmed version of the S2811 Signal Processing Peripheral. For further information on the internal
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S2814A
S2811)
S2814A
S2811
S2811,
S2814A-10
S2814A-12
S2814A-15
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DS3922
Abstract: No abstract text available
Text: I V II T E L . P D S P 1 6 5 1 5 A _ Stand Alone FFT Processor SEMICONDUCTOR |nformatjon DS3922 - 1.5 October 1996 The PDSP16515A perform s Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up to 1024 points. Data and coefficient input are both represented
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DS3922
PDSP16515A
PDSP16515Ato
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Untitled
Abstract: No abstract text available
Text: P D S P 1 6 5 1 0 A @ M ITEL Stand Alone FFT Processor S E M IC O N D U C T O R Supersedes version in Decem ber 1993 Digital Video & DSP IC Handbook, HB3923-1 The PDSP16510 performs Forward or Inverse Fast Fourier Transforms on complex or real data sets containing up
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HB3923-1
DS3475
PDSP16510
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Untitled
Abstract: No abstract text available
Text: LSI LOGIC L64281 FFT Video Shift Register FFTSR Preliminary General Description The L64281 is a high-speed Fast Fourier Trans form (FFT) video shift register. It is used to per form data formatting in real-time FFT systems using the L64280 Fast Fourier Transform Pro
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L64281
L64280
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Untitled
Abstract: No abstract text available
Text: LSI LOGIC L64280 Complex FFT Processor FFTP Preliminary The L64280 Fast Fourier Transform Processor (FFTP) is a floating-point complex FFT proces sor and is designed fo r prim ary use w ith the L64281 Fast Fourier Transform Video Shift Register (FFTSR) in real-tim e FFT systems. It
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L64280
L64280
L64281
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