Quantization Error 10 Bit Adc
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Quantization Error Example
2013 In communicationOQ, eceobjectivequestions // Monday, October 14, 2013 // 4 comments quantization error percentage 10 bit A/D converters, the quantization error is given by (in Percent)-HAL 2011 A) 1 B) 2 C)
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0.1 D) 0.2 Note: Post your answers with Option name and reason of your answer so that others can able to understand and if you want to receive answers from quantization error in pcm 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 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 adc basics 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 Electronics Engineers o... Top ECE high paying core related private companies careers in India I already posted top government core companies in my previous posts,Now i am giving some top list of private sector companies related t... IIAP latest wakin recruitment indian institute of astrophysics recruitment for wakin No. of position : One Sal
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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 answer The best answers are voted up and rise to the top What is http://www.eceway.com/2013/10/10-bit-ad-converters-quantization-error.html “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 for quantization in a analog to digital conversion, and $\Delta x$ is, in portuguese "Faixa de Excursão do Sinal", I don't know http://dsp.stackexchange.com/questions/15925/what-is-maximum-quantization-error 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 of the input signal so we could rewrite this as $$Q = \frac{max(x)-min(x)}{2^{N+1}}$$ Let's look at a quick example. Let's assume you have a signal that's uniformly distributed between -1 and +1 and you want to quantize this with 3 bits. You have a t
In electronics, an analog-to-digital converter (ADC, A/D, A–D, or A-to-D) is a system that converts an analog signal, such as a sound picked up by a microphone or light entering a digital https://en.wikipedia.org/wiki/Analog-to-digital_converter camera, into a digital signal. An ADC may also provide an isolated measurement such as an electronic device that converts an input analog voltage or current to a digital number proportional to the magnitude of the voltage or current. Typically the digital output is a two's complement binary number that is proportional to the input, but there are other possibilities. quantization error 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). A digital-to-analog converter (DAC) performs the reverse function; it converts a digital signal into an analog signal. Contents 1 Explanation 1.1 Resolution 1.1.1 Quantization error 1.1.2 Dither 1.1.3 Non-linearity 1.2 Jitter 1.3 Sampling quantization error 10 rate 1.3.1 Aliasing 1.3.2 Oversampling 1.4 Relative speed and precision 1.5 Sliding scale principle 2 Types 2.1 Direct-conversion 2.2 Successive approximation 2.3 Ramp-compare 2.4 Wilkinson 2.5 Integrating 2.6 Delta-encoded 2.7 Pipeline 2.8 Sigma-delta 2.9 Time-interleaved 2.10 Intermediate FM stage 2.11 Other 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 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