TLC2574IDW vs MAX1287ETA+T

Part Number
TLC2574IDW
MAX1287ETA+T
Category Data Acquisition - Analog to Digital Converters (ADC) Data Acquisition - Analog to Digital Converters (ADC)
Manufacturer Texas Instruments Maxim Integrated
Description IC ADC 12BIT SAR 20SOIC IC ADC 12BIT SAR 8TDFN
Package Bulk Cut Tape (CT)
Series - -
Features - -
Operating Temperature -40°C ~ 85°C -40°C ~ 85°C
Mounting Type Surface Mount Surface Mount
Package / Case 20-SOIC (0.295\", 7.50mm Width) 8-WDFN Exposed Pad
Supplier Device Package 20-SOIC 8-TDFN (3x3)
Reference Type External External
Sampling Rate (Per Second) 200k 150k
Data Interface SPI SPI
Number of Bits 12 12
Voltage - Supply, Analog 5V 2.7V ~ 3.6V
Voltage - Supply, Digital 2.7V ~ 5.5V 2.7V ~ 3.6V
Number of Inputs 2, 4 2
Input Type Pseudo-Differential, Single Ended Single Ended
Configuration MUX-S/H-ADC S/H-ADC
Ratio - S/H:ADC 1:1 1:1
Number of A/D Converters 1 1
Architecture SAR 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. What is the main purpose of ADC?

    The main purpose of ADC is to convert the input analog signal into a digital signal.
    ADC, or analog-to-digital converter, is mainly used to convert continuously changing analog signals into discrete digital signals. The implementation process of ADC usually includes four steps: sampling, holding, quantization, and encoding.

  • 3. 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

  • 4. What is the principle of analog-to-digital converters?

    The working principle of the analog-to-digital converter (ADC) is to convert analog signals into digital signals through four processes: sampling, holding, quantization, and encoding.
    The main components of the analog-to-digital converter include samplers and quantizers, which work together to convert continuous analog signals into discrete digital signals. This process requires a reference analog quantity as a standard, and the maximum convertible signal size is usually used as the reference standard. The basic principles of the analog-to-digital converter can be summarized as follows:
    Sampling: The analog-to-digital converter first samples the input analog signal through a sampling circuit, that is, discretizes the analog signal on the time axis.
    Holding: The sampled signal is held by the holding circuit for the next quantization and encoding process.
    Quantization: The quantization process is to divide the amplitude of the sampled and held analog signal into a finite number of le

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