TLC548IDR vs MAX11603EEE+T

Part Number
TLC548IDR
MAX11603EEE+T
Category Data Acquisition - Analog to Digital Converters (ADC) Data Acquisition - Analog to Digital Converters (ADC)
Manufacturer Texas Instruments Maxim Integrated
Description IC ADC 8BIT SAR 8SOIC IC ADC 8BIT SAR 16QSOP
Package Bulk Tape & Reel (TR)
Series - -
Features - -
Operating Temperature -40°C ~ 85°C -40°C ~ 85°C
Mounting Type Surface Mount Surface Mount
Package / Case 8-SOIC (0.154\", 3.90mm Width) 16-SSOP (0.154\", 3.90mm Width)
Supplier Device Package 8-SOIC 16-QSOP
Reference Type External External, Internal
Sampling Rate (Per Second) 45.5k 188k
Data Interface SPI I²C
Number of Bits 8 8
Voltage - Supply, Analog 3V ~ 6V 2.7V ~ 3.6V
Voltage - Supply, Digital 3V ~ 6V 2.7V ~ 3.6V
Number of Inputs 1 4, 8
Input Type Single Ended Pseudo-Differential, Single Ended
Configuration S/H-ADC MUX-S/H-ADC
Ratio - S/H:ADC 1:1 1:1
Number of A/D Converters 1 1
Architecture SAR SAR
  • 1. What is analog data acquisition?

    Analog data acquisition refers to the process of converting continuously changing signals of physical quantities into digital signals so that computers can process and record these signals. This process involves the use of an analog quantity collector, which is a hardware device that can convert analog signals of physical quantities into digital signals and then transmit them to a computer for processing and recording.

  • 2. What process converts analog to digital?

    There are three basic processes for analog to digital conversion:
    The first process is "sampling", which is to extract the sample value of the analog signal at equal intervals to turn the continuous signal into a discrete signal.
    The second process is called "quantization", which is to convert the extracted sample value into the closest digital value to represent the size of the extracted sample value.
    The third process is "encoding", which is to represent the quantized value with a set of binary digits. After these three processes, the digitization of the analog signal can be completed. This method is called "pulse encoding".
    After the digital signal is transmitted to the receiving end, a restoration process is required, that is, the received digital signal is converted back to an analog signal so that it can be understood by the receiver. This process is called "digital-to-analog conversion", which reproduces it as sound or image.

  • 3. How to convert analog to digital without ADC?

    Analog to digital conversion without ADC can be achieved through PWM circuit. This method is suitable for those main control chips without built-in ADC, which needs to be solved by two GPIOs and an operational amplifier. The basic principle is to use an integral circuit to convert the PWM wave into a smooth DC voltage, and then continuously adjust the PWM duty cycle by comparing it with the voltage to be measured until the output of the comparator changes from 0 to 1, and record the current PWM duty cycle, thereby realizing the measurement of the analog voltage.

  • 4. 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

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