LM98714CCMT

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Data Acquisition -- Analog Front End (AFE)LM98714CCMT Application Field and Working Principle

An Analog Front End (AFE) is an application designed to acquire, process and store analog data in the form of digital signals for industrial, defense, medical and consumer products. The AFE is used to convert analog signals such as sound, light, pressure and temperature into digital signals for various applications. One popular analog Front End system is LM98714CCMT, which is particularly suited for medical applications.

The LM98714CCMT is an analog Front End system based on an integrated circuit (IC) manufactured by the National Semiconductor Corporation. The IC is a 24-bit A/D converter and it contains two input channels, two output channels and an analog-to-digital converter. The A/D converter can convert analog signals into digital signals at a sampling rate of up to 128KHz. Additionally, the system is also equipped with an advanced noise reduction algorithm, which can reduce the noise level significantly.

The field of application for the LM98714CCMT is wide and varied. It includes medical diagnostics and patient monitoring, industrial process control and automation, security and surveillance systems, aerospace projects, military and defense applications, and consumer goods such as audio, video and multimedia devices. Moreover, it can be used for data acquisition in factory automation, intelligent instrumentation, energy monitoring, process control, and robotics.

The working principle of the LM98714CCMT is simple. The analog signal to be converted is applied to one of the input channels of the IC. The signal is then digitized and converted into a digital signal by the A/D converter. The digital signal is then processed by the algorithm to reduce the noise level and then sent to one of the output channels. The output signal is then sent to the microcontroller or processor for further analysis or other purposes.

In summary, the LM98714CCMT is a powerful analog Front End system ideally suited for medical and other applications. It uses an advanced noise reduction algorithm, and its digital output can be used for various purposes. The working principle of the system is also easy to understand, making it an easy and reliable solution for digital signal processing applications.

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