ADC12D1600CIUT/NOPB vs MAX131EPL+
| Part Number |
|
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| Category | Data Acquisition - Analog to Digital Converters (ADC) | Data Acquisition - Analog to Digital Converters (ADC) |
| Manufacturer | Texas Instruments | Maxim Integrated |
| Description | IC ADC 12BIT 292BGA | IC ADC DUAL SLOPE 24DIP |
| Package | Tape & Reel (TR) | Tube |
| Series | - | - |
| Features | - | - |
| Operating Temperature | -40°C ~ 85°C | -40°C ~ 85°C |
| Mounting Type | Surface Mount | Through Hole |
| Package / Case | 292-BBGA | 24-DIP (0.600\", 15.24mm) |
| Supplier Device Package | 292-BGA (27x27) | 24-PDIP |
| Reference Type | - | External |
| Sampling Rate (Per Second) | 3.2G | - |
| Data Interface | - | Serial |
| Number of Bits | 12 | - |
| Voltage - Supply, Analog | - | - |
| Voltage - Supply, Digital | - | - |
| Number of Inputs | - | 1 |
| Input Type | - | Differential |
| Configuration | - | - |
| Ratio - S/H:ADC | - | - |
| Number of A/D Converters | 2 | 1 |
| Architecture | - | Dual Slope |
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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.
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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. 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 -
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.
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