Analog to Digital Conversion. 12 bit vs 16 bit A/D Card Input Volts = A/D 12 bit 2 12 = 4096 +10 Volts = 4095 0 Volts = 2048 −10 Volts = 0 Input Volts.

Slides:



Advertisements
Similar presentations
Analog to digital conversion
Advertisements

EET260: A/D and D/A conversion
Analog Representations of Sound Magnified phonograph grooves, viewed from above: When viewed from the side, channel 1 goes up and down, and channel 2 goes.
Analog-to-Digital Converter (ADC) And
EET 252 Unit 6 Analog-to-Digital Conversion
The Illinois Society of Electroneurodiagnostic Technologists (ISET) Fall Meeting: Electronics Crash Course for Technologists Saturday, November 9, 2013.
Digital Fundamentals Tenth Edition Floyd Chapter 12.
4-Integrating Peripherals in Embedded Systems (cont.)
Data Acquisition Risanuri Hidayat.
LSU 06/04/2007Electronics 71 Analog to Digital Converters Electronics Unit – Lecture 7 Representing a continuously varying physical quantity by a sequence.
Shuvra Das University of Detroit Mercy
Presented by- Md. Bashir Uddin Roll: Dept. of BME KUET, Khulna-9203.
Storey: Electrical & Electronic Systems © Pearson Education Limited 2004 OHT 26.1 Data Acquisition and Conversion  Introduction  Sampling  Signal Reconstruction.
Analogue to Digital Conversion
Introduction to Data Conversion
Discussion #25 – ADCECEN 3011 Conversion Mosiah 5:2 2 And they all cried with one voice, saying: Yea, we believe all the words which though has spoken.
Image and Sound Editing Raed S. Rasheed Sound What is sound? How is sound recorded? How is sound recorded digitally ? How does audio get digitized.
EET260: A/D and D/A converters
Digital Signal Processing (DSP) Fundamentals. Overview What is DSP? Converting Analog into Digital –Electronically –Computationally How Does It Work?
Analog-to-Digital Converters Prepared by: Mohammed Al-Ghamdi, Mohammed Al-Alawi,
JF 12/04111 BSC Data Acquisition and Control Data Representation Computers use base 2, instead of base 10: Internally, information is represented by binary.
Floyd, Digital Fundamentals, 10 th ed EET 2259 Unit 12 Data Acquisition  Read Bishop, Chapter 8.  Lab #12 and Homework #12 due next week.
Data Acquisition. Data Acquisition System Analog Signal Signal Conditioner ADC Digital Processing Communication.
SIMS-201 Audio Digitization. 2  Overview Chapter 12 Digital Audio Digitization of Audio Samples Quantization Reconstruction Quantization error.
Representing Sound in a computer Analogue  Analogue sound is produced by being picked up by a transducer (microphone) and converted in an electrical current.
 Principles of Digital Audio. Analog Audio  3 Characteristics of analog audio signals: 1. Continuous signal – single repetitive waveform 2. Infinite.
11 Lecture Slides ME 3222 Kinematics and Control Lab Lab 2 AD DA and Sampling Theory By Dr. Debao Zhou.
Digital audio. In digital audio, the purpose of binary numbers is to express the values of samples that represent analog sound. (contrasted to MIDI binary.
Computer Based Data Acquisition Basics. Outline Basics of data acquisition Analog to Digital Conversion –Quantization –Aliasing.
Computer Science 121 Scientific Computing Winter 2014 Chapter 13 Sounds and Signals.
Ni.com Data Analysis: Time and Frequency Domain. ni.com Typical Data Acquisition System.
Fall 2004EE 3563 Digital Systems Design Audio Basics  Analog to Digital Conversion  Sampling Rate  Quantization  Aliasing  Digital to Analog Conversion.
Lab #8 Follow-Up: Sounds and Signals* * Figures from Kaplan, D. (2003) Introduction to Scientific Computation and Programming CLI Engineering.
Data Converters ELEC 330 Digital Systems Engineering Dr. Ron Hayne
ACOE2551 Microprocessors Data Converters Analog to Digital Converters (ADC) –Convert an analog quantity (voltage, current) into a digital code Digital.
1 4-Integrating Peripherals in Embedded Systems (cont.)
Analog to Digital Converters (ADC) 1
Professor: Dr. Miguel Alonso Jr.
ISAT 300 Computer-Based Instrumentation (part 2) Sampling and A/D Converters 11/14/01.
ENGR 104: Data Acquisition Lecturers: Dr. Binh Tran Dr. Otto Wilson Jr. © The Catholic University of America Dept of Biomedical Engineering.
Digitization When data acquisition hardware receives an analog signal it converts it to a voltage. An A/D (analog-to-digital) converter then digitizes.
Georgia Institute of Technology Introduction to Processing Digital Sounds part 1 Barb Ericson Georgia Institute of Technology Sept 2005.
1 Introduction to Information Technology LECTURE 6 AUDIO AS INFORMATION IT 101 – Section 3 Spring, 2005.
V. Rouillard  Introduction to measurement and statistical analysis DIGITAL SAMPLING - DIGITISATION Digital sampling is mainly used in data acquisition.
CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 3 – Digital Audio Representation Klara Nahrstedt Spring 2009.
Engineering H192 - Computer Programming Gateway Engineering Education Coalition Lab 1P. 1Winter Quarter Data Acquisition System Fundamentals Lab 1.
Analog-to-Digital and Digital-to-Analog Conversion
Intro-Sound-part1 Introduction to Processing Digital Sounds part 1 Barb Ericson Georgia Institute of Technology Oct 2009.
IT-101 Section 001 Lecture #9 Introduction to Information Technology.
Analog Capture- Port E. Digital to Analog and Analog to Digital Conversion D/A or DAC and A/D or ADC.
Analog/Digital Conversion
Encoding How is information represented?. Way of looking at techniques Data Medium Digital Analog Digital Analog NRZ Manchester Differential Manchester.
A. B. M. Nasiruzzaman Dept. of EEE, RUET According to the Nyquist theorem, the sampling rate must be at least 2 times the highest frequency contained in.
ECE 2799 Electrical and Computer Engineering Design ANALOG to DIGITAL CONVERSION Prof. Bitar Last Update:
Introduction to Data Conversion EE174 – SJSU Tan Nguyen.
ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ (22Δ802) Β΄ ΕΞΑΜΗΝΟ Καθηγητής Πέτρος Π. Γρουμπός  Ώρες Γραφείου: Τετάρτη Πέμπτη Παρασκευή 11:00- 12:00 Γραφείο: 1.
EE 319K Introduction to Embedded Systems
Analog-Digital Conversion. Analog outputs from sensors and analog front- ends (analog signal conditioning) have to be converted into digital signals.
Microprocessors Data Converters Analog to Digital Converters (ADC)
EET 2259 Unit 12 Data Acquisition
Binary Representation in Audio and Images
COMPUTER NETWORKS and INTERNETS
UNIT – III I: Digital Transmission.
Multimedia Systems and Applications
Analog to Digital Converters Electronics Unit – Lecture 7
EET 2259 Unit 12 Data Acquisition
Conversation between Analogue and Digital System
Data Acquisition (DAQ)
COMS 161 Introduction to Computing
Presentation transcript:

Analog to Digital Conversion

12 bit vs 16 bit A/D Card Input Volts = A/D 12 bit 2 12 = Volts = Volts = 2048 −10 Volts = 0 Input Volts = A/D 16 bit 2 16 = Volts = Volts = −10 Volts = 0 16 bit cards have much higher resolution.

Nyquist Sampling Theorem If you sample the signal to the left at too slow of a rate you will not know if the point off the curve is valid or noise. According to the Nyquist Sampling Theorem you must sample at least twice as fast as the highest frequency of the signal.

Nyquist Theorem Applied to EMG Sampling The middle graph shows that all of the EMG data are below 500 Hz, therefore you should sample EMG at 1000 Hz [twice the highest frequency in your signal].

Analog Signals You can understand why CDs have such high fidelity if you understand the analog-to-digital conversion process better. Let's say you have a sound wave, and you wish to sample it with an ADC. Here is a typical wave (assume here that each tick on the horizontal axis represents one- thousandth of a second): When you sample the wave with an analog-to-digital converter, you have control over two variables: The sampling rate - Controls how many samples are taken per second The sampling precision - Controls how many different gradations (quantization levels) are possible when taking the sample

Slow Sampling Rate In the following figure, let's assume that the sampling rate is 1,000 per second and the precision is 10: The green rectangles represent samples. Every 1000th of a second, the ADC looks at the wave and picks the closest number between 0 and 9. The number chosen is shown along the bottom of the figure. These numbers are a digital representation of the original wave. When the DAC recreates the wave from these numbers, you get the blue line shown in the following figure:

Higher Sampling Rates You can see that the blue line lost quite a bit of the detail originally found in the red line, and that means the fidelity of the reproduced wave is not very good. This is the sampling error. You reduce sampling error by increasing both the sampling rate and the precision. In the following figure, both the rate and the precision have been improved by a factor of 2 (20 gradations at a rate of 2,000 samples/sec) In the following figure, the rate and the precision have been doubled again (40 gradations at 4,000 samples/sec) You can see that as the rate and precision increase, the fidelity (the similarity between the original wave and the DAC's output) improves. In the case of CD sound, fidelity is an important goal, so the sampling rate is 44,100 samples per second and the number of gradations is 65,536. At this level, the output of the DAC so closely matches the original waveform that the sound is essentially "perfect" to most human ears. human earshuman ears

National Instruments PCI-6224 [New Dell Computer] 16 bit resolution 32 single-ended inputs Max Sampling rate of 250 K Samples/sec

National Instruments PCI-6251 [old Dell] 16 bit resolution 16 channels 1.25 M Samples/s 7 different voltage ranges Voltage triggered sampling

National Instruments PCI bit resolution 250 KHz samples/s Input Range: ± 10 V ± 5 V ± 1 V ± 0.2 V

Keithley – Metrabyte 1802 HC Key Features and Benefits: Maximum sample rate of up to 333kS/s 12-bit inputs: 64 single-ended or 32 differential 4 digital inputs, 8 digital outputs 2 analog outputs High and low programmable gains Extensive triggering options DriverLINX™ and TestPoint™ software drivers LabVIEW™ VIs The KPCI-1802HC features low-gain inputs of 1, 2, 4, and 8. These boards feature continuous, high- speed, gap-free data acquisition. Sample any single channel at any gain up to 333kS/s. Multiple channels can be sampled at aggregate rates of up to 312.5kS/s. The KPCI-1801HC/1802HC boards feature flexible clocking, triggering, and gating modes and provide 4 data transition methods: Bus mastering, Interrupt mode, Target mode, and Programmable Burst mode.