Quantization Error In 10 Bit Adc
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advertisement: Monday, 14 October 2013 In quantization error in pcm communicationOQ, eceobjectivequestions // Monday, October 14, 2013 // 4 comments 10 bit A/D converters, the quantization error percentage quantization error is given by (in Percent)-HAL 2011 A) 1 B) 2 C) 0.1 D) 0.2 Note: Post your answers with Option name and reason ofQuantization Error Ppt
your answer so that others can able to understand and if you want to receive answers from other candidates click notify me below the comment form. View Answers Post your Answer 4 comments: surjeet rawat19 October 2013 at 00:54.1%...............since quantiztion error is given by (1/no of step size).total no of
Quantization Error In Dsp
step size -2^n where n is the no of bit...2^10=1024q=(1/1024)ie .1%ReplyDeleteRepliesAatef7 November 2013 at 15:47As per my knowledge Quantization error is given as + - (Step Size)/2Step size= Vpp/2^10 = Vpp/1024Qe=Vpp/2048Percentage Qe= 1/2048 ~ 0.05%Where I am making mistake?DeleteHema Trinath9 October 2015 at 18:42Step Size is Vmax-Vmin i.e., 2v i.e,2v/2048DeleteReplyFaiyaz Alam4 November 2013 at 14:49i m agree with above answer.ReplyDeleteAdd commentLoad more... Newer Post Older Post Home Search advertisements Google+ Followers Email Newsletter Subscribe to our newsletter to get the latest updates to your inbox. ;-) Your email address is safe with us! Categories books (12) careers (74) diplomaece (51) ece jobs (446) experienced (48) facultyjobs (9) gate (25) gate 2017 (3) internships (22) jobs (612) M.tech jobs (20) m.tech-admissions (10) placement papers (5) syllabus (28) teachingjobs (5) walkins (28) Top Posts BEL 2016 Recruitment of engineers-ECE BEL Optronic Devices Limited (BELOP) is a subsidiary of Bharat Electronics Limited requiresMechanical Engineers and Ele
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How To Reduce Quantization Error
with us Signal Processing Questions Tags Users Badges Unanswered Ask Question _ Signal Processing Stack Exchange is a question and analog to digital converter answer site for practitioners of the art and science of signal, image and video processing. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can http://www.eceway.com/2013/10/10-bit-ad-converters-quantization-error.html answer The best answers are voted up and rise to the top What is “Maximum Quantization Error”? up vote 2 down vote favorite 1 I have an formula for this "Maximum Quantization Error" but i dont know what it is based in. Its just thrown in my study material without further explanation. It is defined as: $$Q = \dfrac {\Delta x}{2^{N+1}}$$ where $N$ is the number of bits used http://dsp.stackexchange.com/questions/15925/what-is-maximum-quantization-error for quantization in a analog to digital conversion, and $\Delta x$ is, in portuguese "Faixa de Excursão do Sinal", I don't know what would be the correct translation, but I bet on something like "Signal Excursion Band". I know, its a strange name. Can someone help me with this? What is this $\Delta x$? Sorry for my bad english, it isnt my native language. adc quantization share|improve this question edited Apr 29 '14 at 17:07 jojek♦ 6,71041444 asked Apr 29 '14 at 15:19 Diedre 20115 Evidently you are learning the basics. Speaking as a retired EE; real designs are a lot more complicated. The answer below is idealized for discussion. While not wrong, there are large confounding terms in physical implementation. –rrogers Dec 30 '15 at 14:42 add a comment| 1 Answer 1 active oldest votes up vote 4 down vote accepted When you quantize a signal, you introduce and error which can be defined as $$q[n] = x_q[n]-x[n]$$ where $q[n]$ is the quantization error, $x[n]$ the original signal, and $x_q[n]$ of the quantized signal. The maximum quantization error is simply $max(\left | q \right |)$, the absolute maximum of this error function. Dx in this definition seems to be the range
Data Conversion Website Quantization Error and Signal - to - Noise Ratio calculations The signal to noise ratio of a quantized signal is 2+6*(no of bits), as shown in the following table. Resolution and Signal to Noise Ratio for signals http://www.skillbank.co.uk/SignalConversion/snr.htm coded as n bits bits, n levels, 2n Weighting of LSB, 2-n SNR, dB 1 http://www.embedded.com/design/configurable-systems/4025078/Understanding-analog-to-digital-converter-specifications 2 0.5 8 2 4 0.25 14 3 8 0.125 20 4 16 0.0625 26 5 32 0.03125 32 6 64 0.01563 38 7 128 0.00781 44 8 256 0.00391 50 9 512 0.00195 56 10 1024 0.00098 62 11 2048 0.00048 68 12 4096 0.00024 74 13 8192 0.00012 80 14 16384 0.00006 86 15 32768 0.00003 92 quantization error 16 65536 0.00001 98 These values are for a signal matched to the full-scale range of the converter. If a signal with a range of 5V is measured by an 8 bit ADC with a range of 10V then only 7 bits are effectively in use, and a signal to noise ratio of 44 rather than 50 will apply. Proof: Suppose that the instantaneous value of the input voltage is measured by quantization error in an ADC with a Full Scale Range of Vfs volts, and a resolution of n bits. The real value can change through a range of q = Vfs / 2n volts without a change in measured value occurring. The value of the measured signal is Vm = Vs - e, where Vm is the measured value, Vs is the actual value, and e is the error. The maximum value of error in the measured signal is emax = (1/2)(Vfs / 2n) or emax = q/2 since q = Vfs / 2n The RMS value of quantization error voltage is whence The Signal to Noise Ratio (SNR) is defined as It is normally quoted on a logarithmic scale, in deciBels ( dB ). or The RMS signal voltage is then The error, or quantization noise signal is Thus the signal - to - noise ratio in dB. is since Vfs = 2n q, then which simplifies to N.B. This equation is true only if the input signal is exactly matched to the Full Scale Range of the converter. For signals whose amplitude is less than the FSR the Signal - to - Noise Ratio will be reduced. Download a .pdf file of the analysis of quantization error and signal to noise ratio
& SoCs Operating Systems Power Optimization Programming Languages & Tools Prototyping & Development Real-time & Performance Real-world Applications Safety & Security System Integration Essentials & Education Products News Source Code Library Webinars Courses Tech Papers Community Insights Forums Events Archives ESP / ESD Magazine Newsletters Videos Collections About Us About Embedded Contact Us Newsletters Advertising 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 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 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 spec