AD7478ARTZ-REEL7 vs ADC12D1800CIUT/NOPB

Part Number
AD7478ARTZ-REEL7
ADC12D1800CIUT/NOPB
Category Data Acquisition - Analog to Digital Converters (ADC) Data Acquisition - Analog to Digital Converters (ADC)
Manufacturer Analog Devices Inc. National Semiconductor
Description IC ADC 8BIT SAR SOT23-6 IC ADC 12BIT 292BGA
Package Tape & Reel (TR) Bulk
Series - -
Features - -
Operating Temperature -40°C ~ 85°C -40°C ~ 85°C
Mounting Type Surface Mount Surface Mount
Package / Case SOT-23-6 292-BGA
Supplier Device Package SOT-23-6 292-BGA (27x27)
Reference Type Supply -
Sampling Rate (Per Second) 1M 3.6G
Data Interface SPI, DSP -
Number of Bits 8 12
Voltage - Supply, Analog 2.7V ~ 5.25V -
Voltage - Supply, Digital 2.7V ~ 5.25V -
Number of Inputs 1 -
Input Type Single Ended -
Configuration S/H-ADC -
Ratio - S/H:ADC 1:1 -
Number of A/D Converters 1 2
Architecture SAR -
  • 1. How does ADC convert analog to digital?

    The technology that converts analog sound signals into digital signals is called analog-to-digital conversion technology (Analog to Digital Converter, referred to as ADC). The function of ADC is to convert continuously changing analog signals into discrete digital signals. The process of analog-to-digital conversion can be completed by steps such as sampling, holding, quantization, and encoding.

  • 2. Why do we need analog-to-digital converters?

    The reasons why we need analog-to-digital converters mainly include the following:
    Digital system processing: Many computers and electronic devices are digital systems, which are more suitable for processing digital signals. Analog signals are difficult to process in digital systems, and after analog-to-digital conversion, the signals can be represented, stored and processed in digital form.
    Noise immunity: Digital signals are more noise-resistant than analog signals. Digital signals can be protected and restored by means such as error correction codes, while analog signals are easily interfered by noise.
    Accuracy: Digital signals are more accurate because they can be represented with higher resolution. Analog signals have accuracy limitations, and analog-to-digital conversion can improve the resolution of the signal.
    Application scenarios: Analog-to-digital converters are widely used in many fields, including automatic control systems, audio and video processing, sensor interfaces

  • 3. When is ADC used?

    ADC (Analog-to-Digital Converter) is widely used in a variety of scenarios, including but not limited to:
    Sensor interface: For example, temperature sensors, pressure sensors, and light sensors, ADC converts analog voltages into digital signals for the use of digital thermometers, temperature control systems, barometers, air pressure sensing systems, light intensity detection and control systems.
    Audio signal processing: In microphones, ADC converts analog audio signals into digital signals for digital audio processing, recording, and playback.
    Medical equipment: Such as electrocardiograms (ECGs) and oximeters, ADC converts analog signals of ECG signals and blood oxygen saturation into digital signals for heart health monitoring and diagnosis and blood oxygen level monitoring.
    Data acquisition system: In various applications that need to collect data from analog signals, ADC is used to convert analog signals into digital signals for storage, processing, and analysis.

  • 4. What is the difference between ADC and DAC?

    The main difference between ADC and DAC is that they process different types of signals and conversion directions.
    The main function of an ADC (analog-to-digital converter) is to convert analog signals into digital signals. This process involves sampling, quantization, and encoding, where sampling is the periodic measurement of the value of an analog signal at a certain sampling rate, quantization is the conversion of the sampled continuous values ​​into a finite number of discrete levels, and encoding is the conversion of the quantized discrete levels into binary code. The output of the ADC is a digital signal that can be processed and stored by a computer or other digital circuit for various applications such as digital signal processing, data logging, and communications. Common applications in life include microphones, digital thermometers, digital cameras, etc., which convert the actual perceived analog information into digital signals for further processing and analysis12.
    DAC (

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