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    COMPUTATIONS Result Highlights (5)

    Part ECAD Model Manufacturer Description Download Buy
    CS-VHDCIMX200-003 Amphenol Cables on Demand Amphenol CS-VHDCIMX200-003 VHDCI SCSI (SCSI-5) LVD/SE Cable - .8mm 68-pin VHDCI SCSI Male to Male 3m Datasheet
    CS-VHDCIMX200-000.5 Amphenol Cables on Demand Amphenol CS-VHDCIMX200-000.5 VHDCI SCSI (SCSI-5) LVD/SE Cable - .8mm 68-pin VHDCI SCSI Male to Male .5m Datasheet
    CS-VHDCIMX200-005 Amphenol Cables on Demand Amphenol CS-VHDCIMX200-005 VHDCI SCSI (SCSI-5) LVD/SE Cable - .8mm 68-pin VHDCI SCSI Male to Male 5m Datasheet
    CS-VHDCIMX200-006 Amphenol Cables on Demand Amphenol CS-VHDCIMX200-006 VHDCI SCSI (SCSI-5) LVD/SE Cable - .8mm 68-pin VHDCI SCSI Male to Male 6m Datasheet
    CS-VHDCIMX200-001 Amphenol Cables on Demand Amphenol CS-VHDCIMX200-001 VHDCI SCSI (SCSI-5) LVD/SE Cable - .8mm 68-pin VHDCI SCSI Male to Male 1m Datasheet

    COMPUTATIONS Datasheets Context Search

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    verilog code for floating point multiplication

    Abstract: vhdl code for cordic cosine and sine vhdl code for 8 bit floating point processor verilog code for single precision floating point multiplication verilog code for cordic verilog code for double precision floating point multiplication 8051 16bit addition, subtraction verilog code for single precision floating point addition DP8051 IEEE 754
    Text: DFPMU-DP Floating Point Coprocessor Double Precision ver 3.03 OVERVIEW DFPMU-DP is a Floating Point Coprocessor, designed to assist CPU in performing the floating point mathematic computations. DFPMU-DP directly replaces C software functions, by equivalent, very fast hardware


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    verilog code for floating point multiplication

    Abstract: vhdl code for cordic cosine and sine vhdl code for cordic VHDL code for floating point addition verilog code for floating point division vhdl code for cordic multiplication program for 8051 16bit square root verilog code for single precision floating point multiplication 8051 16bit addition, subtraction CORDIC sine cosine float altera
    Text: DFPMU Floating Point Coprocessor ver 2.05 OVERVIEW DFPMU is a Floating Point Coprocessor, designed to assist CPU in performing the floating point mathematic computations. DFPMU directly replaces C software functions, by equivalent, very fast hardware operations,


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    PDF DP8051, 32-bit verilog code for floating point multiplication vhdl code for cordic cosine and sine vhdl code for cordic VHDL code for floating point addition verilog code for floating point division vhdl code for cordic multiplication program for 8051 16bit square root verilog code for single precision floating point multiplication 8051 16bit addition, subtraction CORDIC sine cosine float altera

    AD534

    Abstract: AD543L AD534-Applications AD534KDZ AD534J AD534K AD534L AD534S AD534T ad534 application
    Text: Internally Trimmed Precision IC Multiplier AD534 FEATURES APPLICATIONS High quality analog signal processing Differential ratio and percentage computations Algebraic and trigonometric function synthesis Wideband, high crest rms-to-dc conversion Accurate voltage controlled oscillators and filters


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    PDF AD534 AD534L) 20-Terminal 10-Pin O-100] AD534 AD543L AD534-Applications AD534KDZ AD534J AD534K AD534L AD534S AD534T ad534 application

    a939

    Abstract: 73B5 ms 7254 ver 1.1 6A33 6E2d 7931 la 7830 A82E AN542 IDT71256
    Text: AN542 Implementation of Fast Fourier Transforms Amar Palacherla Microchip Technology Inc. INTRODUCTION Fourier transforms are one of the fundamental operations in signal processing. In digital computations, Discrete Fourier Transforms DFT are used to describe, represent, and analyze discrete-time signals.


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    PDF AN542 PIC17C42. DS00542C-page a939 73B5 ms 7254 ver 1.1 6A33 6E2d 7931 la 7830 A82E AN542 IDT71256

    RAID-5

    Abstract: 440SP 440S PPC440 amcc 440 POWERPC-440SP
    Text: PRODUCT BRIEF RAID 5/6 with PowerPC440SP/SPe High performance RAID computations with PowerPC 440S series Features • Hardware support for RAID 5 and RAID 6 calculations • PPC 440SPe+ supports polynomials 11d, 14d, and 30 others • PPC 440SP+ supports 14d


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    PDF PowerPC440SP/SPe 440SPe+ 440SP+ POWERPC440SP/SPe RAID-5 440SP 440S PPC440 amcc 440 POWERPC-440SP

    A83B

    Abstract: ms 7254 ver 1.1 6a45 6A33 6A34 6E2d 02ad A93D 02F2 SUB16
    Text: AN542 Implementation of Fast Fourier Transforms Amar Palacherla Microchip Technology Inc. INTRODUCTION Fourier transforms are one of the fundamental operations in signal processing. In digital computations, Discrete Fourier Transforms DFT are used to describe, represent, and analyze discrete-time signals.


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    PDF AN542 16-bit A83B ms 7254 ver 1.1 6a45 6A33 6A34 6E2d 02ad A93D 02F2 SUB16

    ADSP-21010

    Abstract: RY 126 ADSP-21000 ADSP-21160 SHARC Instruction Set Reference
    Text: 7 COMPUTATIONS REFERENCE Figure 7-0. Table 7-0. Listing 7-0. Compute Field Compute operations execute in the multiplier, the ALU, and the shifter. The 23-bit compute field is a mini instruction within the ADSP-21000 instruction and can be specified for a variety of compute operations. This


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    PDF 23-bit ADSP-21000 R11-8 R15-12, R15-12 F11-8 F15-12, F15-12 ADSP-21010 RY 126 ADSP-21000 ADSP-21160 SHARC Instruction Set Reference

    TMPM373FWDUG

    Abstract: No abstract text available
    Text: October 2010 TX03 Series 32-bit / 48-pin TMPM373FWDUG High-performance microcontroller containing hardware "Vector Engine" for handling routine computations for motor vector control and compact package variation, realizing 5-V single-supply operation. Features


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    PDF 32-bit 48-pin TMPM373FWDUG TMPM373FWDUG

    compass sensor Heading Accuracy

    Abstract: compass PNI-11096 compass calibration magnetometer pni 11096 compass sensor compass Sensor circuit arctangent
    Text: September 2003 APPLICATION NOTE Calibration Computations for Practical Compassing using the PNI-11096 Magnetometer ASIC Introduction Calibration Procedure Accurate compass heading information is needed for many applications. A two-axis magnetometer is the


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    PDF PNI-11096 PNI-11096 1000006R06 compass sensor Heading Accuracy compass compass calibration magnetometer pni 11096 compass sensor compass Sensor circuit arctangent

    zener DIODE A112

    Abstract: No abstract text available
    Text: Internally Trimmed Precision IC Multiplier AD534 FEATURES APPLICATIONS High quality analog signal processing Differential ratio and percentage computations Algebraic and trigonometric function synthesis Wideband, high crest rms-to-dc conversion Accurate voltage controlled oscillators and filters


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    PDF AD534 AD534L) 20-Terminal 10-Pin O-100] zener DIODE A112

    ms 7254 ver 1.1

    Abstract: 6E2D A039 AF3C transistor C946 sin wave to square AN540 AN542 IDT71256 PIC17C42
    Text: AN542 Implementation of Fast Fourier Transforms Amar Palacherla Microchip Technology Inc. INTRODUCTION Fourier transforms are one of the fundamental operations in signal processing. In digital computations, Discrete Fourier Transforms DFT are used to describe, represent, and analyze discrete-time signals.


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    PDF AN542 PIC17C42. D-81739 ms 7254 ver 1.1 6E2D A039 AF3C transistor C946 sin wave to square AN540 AN542 IDT71256 PIC17C42

    TI-92

    Abstract: geometric w2t 05 26344
    Text: Chapter 1: Getting Started 1 Getting the TI-92 Ready to Use . 2 Performing Computations . 4 Graphing a Function. 7


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    PDF TI-92 TI-92. TI-92: 9201ENG geometric w2t 05 26344

    Untitled

    Abstract: No abstract text available
    Text: ST19XR34 SMARTCARD MCU With 34KBytes EEPROM DATA BRIEFING – SYMMETRICAL ALGORITHMS: ST19XR34 FEATURES • ENHANCED 8 BIT CPU WITH EXTENDED ADDRESSING MODES DES, triple DES, DESX computations and CBC chaining mode. ■ 96K BYTES USER ROM WITH PARTITIONING


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    PDF ST19XR34 34KBytes ST19XR34 10MHz

    Johanson Dielectrics

    Abstract: 501H47W104KV4 123UF
    Text: www.johanson-caps.com AC POWER COMPUTATIONS FOR DC RATED CAPACITORS Capacitors are usually rated in terms of DC voltage. This rating means that the part can be expected to operate reliably on a long-term basis at that DC voltage and at the capacitor’s rated temperature. Since most applications


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    PDF 500VDC Johanson Dielectrics 501H47W104KV4 123UF

    ad535kd

    Abstract: AD535KH AD535JD AD535JH AD535 multiplier AD535 AD535J AD535K AD636 AD536 analog
    Text: ANALOG DEVICES □ FEA TU R ES Pretrimmed to ±0.5% max Error, 10:1 Denominator Range AD 535K ±2.0% max Error, 50:1 Da nominator Rang* (A D 535K) All Inputs (X, Y and Z) Differential A P P LIC A T IO N S General Analog Signal Processing Differential Ratio and Percentage Computations


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    PDF AD535 AD535K) O-I16 AD53S AD535 AD636J AD53SJ ad535kd AD535KH AD535JD AD535JH AD535 multiplier AD535J AD535K AD636 AD536 analog

    AD535KH

    Abstract: AD535JD AD535KD 535J
    Text: ANALOG DEVICES □ FEA T U R E S Pretrimmed to 103% max Eiror, 10:1 Denominator Range AD535K ±2.0% max Error, 50:1 Denominator Range (AD535K) All Inputs (X, Y and Z) Differential APPLICATIONS General Analog Signal Processing Differential Ratio and Percentage Computations


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    PDF AD535 AD535 AD535K) O-116 A0636J AD53BJ AD535KH AD535JD AD535KD 535J

    diode sk 4f1/ 02

    Abstract: diode sk 4f1 pace1750 pace1750a F9450 diode sk 4f1/ 10 PACE1750AE P1750A MJ015 mil-std-1750a
    Text: PACE1750AE SINGLE CHIP, 40MHz, ENHANCED CMOS 16-BIT PROCESSOR IP 1 F 8 E L M D IN M Y FEATURES — Parametric Memory Inner-Dot Products for Matrix Computations Up To 64K. — Fast Polynomial expansion algorithm. — Fast context switching with instruction to block


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    PDF PACE1750AE 40MHz, 16-BIT MIL-STD-1750A 48-Bit P1750A RACE1750AE P4C1257 P4C1258 diode sk 4f1/ 02 diode sk 4f1 pace1750 pace1750a F9450 diode sk 4f1/ 10 PACE1750AE P1750A MJ015

    Untitled

    Abstract: No abstract text available
    Text: For Immediate Assistance, Contact Your Local Salesperson B U R R - BR O W N E t LOGIOO 1 Precision LOGARITHMIC AND LOG RATIO AMPLIFIER FEATURES APPLICATIONS • ACCURACY 0.37% FSO max Total Error Over 5 Decades • LOG, LOG RATIO AND ANTILOG COMPUTATIONS • ABSORBANCE MEASUREMENTS


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    nec v33

    Abstract: nec v53 cpu uPD72291 nec v80 nec v70 UPD72691 32-bit floating point adder nec v53 nec 32bit v53 cpu
    Text: SEC fiPD72291/691 Advanced Floating Point Processor NEC Electronics Inc. Description The /jPD72291 and /JPD72691 are Advanced Floating Point Processors AFPP for high-precision scientific and technical computations, conforming to the IEEE754 standard. The/jPD72291 can be connected as


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    PDF uPD72291 uPD72691 /jPD72291 /JPD72691 IEEE754 The/jPD72291 /PD70136 16-bit V33TM) nec v33 nec v53 cpu nec v80 nec v70 32-bit floating point adder nec v53 nec 32bit v53 cpu

    Untitled

    Abstract: No abstract text available
    Text: SECTION SELECTOR iSTROÖUCTföN DATA TRANSMISSION LINES AND \CTEBtSTICS -WHB-¡C8ARACT REFLECTIONS' COMPUTATIONS AND WAVEFORMS LONG TRANSMISSION LINES AND DATA SIGNAL QUALITY M tr fo o e pK rpe lll1CI"ÌRÌCC lijcrfsicc FORMS OF OPERATION PRODUCT INFORMATION


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    Untitled

    Abstract: No abstract text available
    Text: BU RR - BROW N L0G100 Precision LOGARITHMIC AND LOG RATIO AMPLIFIER FEATURES APPLICATIONS • ACCURACY 0.37% FSO max Total Error Over 5 Decades • LOG, LOG RATIO AND ANTILOG COMPUTATIONS • ABSORBANCE MEASUREMENTS • DATA COMPRESSION • LINEARITY 0.1% max Log Conformity


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    PDF L0G100 17313bS 002770a 14-Lead

    LOG100

    Abstract: IN834
    Text: For Immediate Assistance, Contact Your Local Salesperson B U R R - B R O W N <; LOGIOO Precision LOGARITHMIC AND LOG RATIO AMPLIFIER FEATURES APPLICATIONS • ACCURACY 0.37% FSO max Total Error Over 5 Decades • LOG, LOG RATIO AND ANTILOG COMPUTATIONS • ABSORBANCE MEASUREMENTS


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    PDF 17313b5 LOG100 IN834

    Untitled

    Abstract: No abstract text available
    Text: PACE1750AE SINGLE CHIP, 40MHz, ENHANCED CMOS 16-BIT PROCESSOR FEATURES — Parametric Memory Inner-Dot Products for Matrix Computations Up To 64K. — Fast Polynomial expansion algorithm. — Fast context switching with instruction to block move up to 16 new mapping memory page


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    PDF PACE1750AE 40MHz, 16-BIT MIL-STD-1750A 48-Bit P1750A PACE1754 P4C1256

    Untitled

    Abstract: No abstract text available
    Text: Reliability of Stack Devices As shown in the attached computations, the method for determining the failure rate for a stack is multiplying the ' failures in time per billion device hours' F.I.T. of the die types utilized in the stack by the number of die


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