Features
- 12-Bit DAC and Reference on a Single Chip
- Pin Compatible With AD565A
- Very High-Speed: Settles to ±0.5 LSB in 250ns (Max) Full Scale Switching Time 30ns (Typ)
- Guaranteed For Operation With ±12V Supplies
- Monotonicity Guaranteed Over Temperature
- Nonlinearity Guaranteed Over Temp (Max) ±0.5 LSB
- Low Gain Drift (Max, DAC Plus Ref) 25ppm/°C
- Low Power Dissipation 250mW
Description
The HI-565A is a fast, 12-bit, current output, digital-to-analog converter. The monolithic chip includes a precision voltage reference, thin-film R2R ladder, reference control amplifier and twelve High-Speed bipolar current switches. The Renesas dielectric isolation process provides latch free operation while minimizing stray capacitance and leakage currents, to produce an excellent combination of speed and accuracy. Also, ground currents are minimized to produce a low and constant current through the ground terminal, which reduces error due to code dependent ground currents. HI-565A dice are laser trimmed for a maximum integral nonlinearity error of ±0. 5 LSB at 25°C. In addition, the low noise buried zener reference is trimmed both for absolute value and temperature coefficient. Power dissipation is typically 250mW, with ±15V supplies. The HI-565A is offered in both commercial and military grades. See Ordering Information.
Applications
- CRT Displays
- High Speed A/D Converters
- Signal Reconstruction
- Waveform Synthesis
| Part Number | Status | Samples | Stock | Package | Lead Count (#) | Carrier Type | Moisture Sensitivity Level (MSL) | Pb (Lead) Free | Pb Free Category | MOQ | Temp. Range (°C) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| HI1-565ASD/883 | Obsolete | N/A | Out of Stock | SBDIP | 24# | Tube | Not Applicable | Yes | Gold Plate-e4 | 45 | -55 to +125°C |
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- Product Change NoticePDF 174 KB PCN14017 Apr 21, 2014
- Product Change NoticePDF 138 KB PCN11042 Apr 07, 2011
- Application NotePDF 503 KB an9675 Aug 13, 1999AI-generated Summary: Effective Number of Bits (ENOB) depends critically on precise coherence in A/D sampling, with small frequency shifts significantly impacting accuracy. Unwrapping reconstructs coherently sampled sine waves, while windowing controls spectral leakage by shaping the acquisition window. Resampling and interpolation adjust sample sets to avoid leakage in FFT analysis. Different window functions balance side lobe levels and bandwidth, affecting spectral resolution and leakage reduction.
- Application NotePDF 224 KB an9654 May 05, 1999AI-generated Summary: The document explains the reliability and failure mechanisms of semiconductor parts, focusing on life testing and wearout. It discusses how switching states cause transient current pulses and hot carrier injection, which only occur briefly during switching. Life testing at elevated temperatures accelerates aging to remove infant mortality failures, improving reliability. The failure rate follows a bathtub curve with infant mortality, useful life, and wearout phases, modeled by lognormal and exponential distributions. The Arrhenius equation relates failure rates at different temperatures. Burn-in and life tests reduce early failures without harming intrinsic reliability.
- Application NotePDF 1.08 MB an002 Nov 19, 1998AI-generated Summary: Data acquisition and conversion involve quantization, where the smallest resolvable analog difference (quantum) depends on the full scale range and resolution. Quantization introduces an irreducible error called quantizing error or noise. Aperture time, the conversion time uncertainty, causes amplitude errors when signals change during conversion. Sample-hold circuits reduce aperture time by storing sampled signals. The Sampling Theorem states that sampling frequency must be at least twice the highest signal frequency to avoid distortion from frequency folding or aliasing. Natural binary code is commonly used for digital representation in converters, with the most and least significant bits defining the code's resolution and value.
- Application NotePDF 287 KB an9705 Feb 21, 1997AI-generated Summary: Coherent sampling requires the ratio of signal frequency to sampling frequency to be a rational number, expressed as ko/N. When this condition is not met, frequency smearing occurs across bins. Data Acquisition Systems (DAS) can mitigate this by windowing, fixing sampling frequency and tuning input frequency, or fixing input frequency and tuning sampling frequency. The latter two methods are practical for most systems. Pseudo-code illustrates the frequency response for non-integer ko values.
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 503 KB an9675 Aug 13, 1999AI-generated Summary: Effective Number of Bits (ENOB) depends critically on precise coherence in A/D sampling, with small frequency shifts significantly impacting accuracy. Unwrapping reconstructs coherently sampled sine waves, while windowing controls spectral leakage by shaping the acquisition window. Resampling and interpolation adjust sample sets to avoid leakage in FFT analysis. Different window functions balance side lobe levels and bandwidth, affecting spectral resolution and leakage reduction.
- Application NotePDF 224 KB an9654 May 05, 1999AI-generated Summary: The document explains the reliability and failure mechanisms of semiconductor parts, focusing on life testing and wearout. It discusses how switching states cause transient current pulses and hot carrier injection, which only occur briefly during switching. Life testing at elevated temperatures accelerates aging to remove infant mortality failures, improving reliability. The failure rate follows a bathtub curve with infant mortality, useful life, and wearout phases, modeled by lognormal and exponential distributions. The Arrhenius equation relates failure rates at different temperatures. Burn-in and life tests reduce early failures without harming intrinsic reliability.
- Application NotePDF 1.08 MB an002 Nov 19, 1998AI-generated Summary: Data acquisition and conversion involve quantization, where the smallest resolvable analog difference (quantum) depends on the full scale range and resolution. Quantization introduces an irreducible error called quantizing error or noise. Aperture time, the conversion time uncertainty, causes amplitude errors when signals change during conversion. Sample-hold circuits reduce aperture time by storing sampled signals. The Sampling Theorem states that sampling frequency must be at least twice the highest signal frequency to avoid distortion from frequency folding or aliasing. Natural binary code is commonly used for digital representation in converters, with the most and least significant bits defining the code's resolution and value.
- Application NotePDF 287 KB an9705 Feb 21, 1997AI-generated Summary: Coherent sampling requires the ratio of signal frequency to sampling frequency to be a rational number, expressed as ko/N. When this condition is not met, frequency smearing occurs across bins. Data Acquisition Systems (DAS) can mitigate this by windowing, fixing sampling frequency and tuning input frequency, or fixing input frequency and tuning sampling frequency. The latter two methods are practical for most systems. Pseudo-code illustrates the frequency response for non-integer ko values.
Application Notes & White Papers (4)
- Product Change NoticePDF 174 KB PCN14017 Apr 21, 2014
- Product Change NoticePDF 138 KB PCN11042 Apr 07, 2011
Product Notices (PCN, EOL, etc) (3)
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