ADC10DL065CIVS/NOPB vs ADS8318IDRCT
| Part Number |
|
|
| Category | Data Acquisition - Analog to Digital Converters (ADC) | Data Acquisition - Analog to Digital Converters (ADC) |
| Manufacturer | National Semiconductor | Texas Instruments |
| Description | IC ADC 10BIT PIPELINED 64TQFP | IC ADC 16BIT SAR 10VSON |
| Package | Bulk | Tape & Reel (TR) |
| Series | - | microPOWER™ |
| Features | Simultaneous Sampling | - |
| Operating Temperature | -40°C ~ 85°C | -40°C ~ 85°C |
| Mounting Type | Surface Mount | Surface Mount |
| Package / Case | 64-TQFP | 10-VFDFN Exposed Pad |
| Supplier Device Package | 64-TQFP (10x10) | 10-VSON (3x3) |
| Reference Type | External, Internal | External |
| Sampling Rate (Per Second) | 65M | 500k |
| Data Interface | Parallel | SPI |
| Number of Bits | 10 | 16 |
| Voltage - Supply, Analog | 3V ~ 3.6V | 5V |
| Voltage - Supply, Digital | 3V ~ 3.6V | 2.375V ~ 5.5V |
| Number of Inputs | 2 | 1 |
| Input Type | Differential | Differential |
| Configuration | S/H-ADC | S/H-ADC |
| Ratio - S/H:ADC | 1:1 | 1:1 |
| Number of A/D Converters | 2 | 1 |
| Architecture | Pipelined | SAR |
-
1. What is ADC for data acquisition?
A data collector is an electronic device used to convert various data (such as barcodes, RFID tags, etc.) into a storable and editable format and transmit it to a computer or system in real time. Data collectors are usually operated using handheld devices (such as inventory counting machines or PDAs) and have functions such as real-time acquisition, automatic storage, instant display, instant feedback, automatic processing, and automatic transmission. They can be widely used in warehouse management, logistics transportation, retail, medical, military and other fields. The main functions of data collectors include data acquisition, real-time data processing, data storage and transmission.
ADC, or analog-to-digital converter, is an electronic device that can convert continuously changing analog signals into discrete digital signals. It is mainly used in data acquisition, signal processing, communication and other fields.
-
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. 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. -
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
