Analog To Digital Converter Error

In electronics, an analog-to-digital converter (ADC, A/D, A–D, or A-to-D) is a system that converts an analog signal into a digital signal. A digital-to-analog converter (DAC) performs the reverse function. An ADC may also provide an isolated measurement such as an electronic device that converts an input adc calibration gain and offset analog voltage or current to a digital number proportional to the magnitude of the voltage

Adc Error Analysis

or current. Typically the digital output will be a two's complement binary number that is proportional to the input, but there are

Integral Nonlinearity Adc

other possibilities. There are several ADC architectures. Due to the complexity and the need for precisely matched components, all but the most specialized ADCs are implemented as integrated circuits (ICs). Contents 1 Explanation 1.1 Resolution 1.1.1 Quantization

Types Of Errors In Adc

error 1.1.2 Dither 1.2 Accuracy 1.2.1 Non-linearity 1.3 Jitter 1.4 Sampling rate 1.4.1 Aliasing 1.4.2 Oversampling 1.5 Relative speed and precision 1.6 The sliding scale principle 2 ADC types 3 Commercial 4 Applications 4.1 Music recording 4.2 Digital signal processing 4.3 Scientific instruments 4.4 Rotary encoder 5 Electrical symbol 6 Testing 7 See also 8 Notes 9 References 10 Further reading 11 External links Explanation[edit] The conversion involves quantization of the input, so it necessarily adc offset error correction introduces a small amount of error. Furthermore, instead of continuously performing the conversion, an ADC does the conversion periodically, sampling the input. The result is a sequence of digital values that have been converted from a continuous-time and continuous-amplitude analog signal to a discrete-time and discrete-amplitude digital signal. An ADC is defined by its bandwidth and its signal-to-noise ratio. The bandwidth of an ADC is characterized primarily by its sampling rate. The dynamic range of an ADC is influenced by many factors, including the resolution, linearity and accuracy (how well the quantization levels match the true analog signal), aliasing and jitter. The dynamic range of an ADC is often summarized in terms of its effective number of bits (ENOB), the number of bits of each measure it returns that are on average not noise. An ideal ADC has an ENOB equal to its resolution. ADCs are chosen to match the bandwidth and required signal-to-noise ratio of the signal to be quantized. If an ADC operates at a sampling rate greater than twice the bandwidth of the signal, then perfect reconstruction is possible given an ideal ADC and neglecting quantization error. The presence of quantization error limits the dynamic range of even an ideal ADC. However, if the dynamic range of the ADC exceeds that of the input signal, its effects may be neglected

& SoCs Operating Systems Power Optimization Programming Languages & Tools Prototyping & Development Real-time & Performance Real-world Applications Safety & Security System Integration Essentials & Education Products dnl error News Source Code Library Webinars Courses Tech Papers Community Insights Forums quantization error in adc Events Archives ESP / ESD Magazine Newsletters Videos Collections About Us About Embedded Contact Us Newsletters Advertising adc error budget analysis Editorial Contributions Site Map Home> Configurable Systems Development Centers > Design How-To Understanding analog to digital converter specifications Len Staller February 24, 2005 Tweet Save to My Library https://en.wikipedia.org/wiki/Analog-to-digital_converter Follow Comments Len StallerFebruary 24, 2005 Confused by analog-to-digital converter specifications? Here's a primer to help you decipher them and make the right decisions for your project. Although manufacturers use common terms to describe analog-to-digital converters (ADCs), the way ADC makers specify the performance of ADCs in data sheets can be confusing, especially for a newcomers. But http://www.embedded.com/design/configurable-systems/4025078/Understanding-analog-to-digital-converter-specifications to select the correct ADC for an application, it's essential to understand the specifications. This guide will help engineers to better understand the specifications commonly posted in manufacturers' data sheets that describe the performance of successive approximation register (SAR) ADCs. ABCs of ADCs ADCs convert an analog signal input to a digital output code. ADC measurements deviate from the ideal due to variations in the manufacturing process common to all integrated circuits (ICs) and through various sources of inaccuracy in the analog-to-digital conversion process. The ADC performance specifications will quantify the errors that are caused by the ADC itself. ADC performance specifications are generally categorized in two ways: DC accuracy and dynamic performance. Most applications use ADCs to measure a relatively static, DC-like signal (for example, a temperature sensor or strain-gauge voltage) or a dynamic signal (such as processing of a voice signal or tone detection). The application determines which specifications the designer will consider the most important. For example, a DTMF decoder samples a telephone signa

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