Probability Of Bit Error Matlab
Search All Support Resources Support Documentation MathWorks Search MathWorks.com MathWorks Documentation Support Documentation Toggle navigation Trial Software Product Updates Documentation Home Communications System Toolbox Examples Functions and Other Reference Release Notes PDF Documentation Measurements, Visualization, and Analysis Communications System Toolbox Functions bercoding On this page Syntax Alternatives Description Examples Upper Bound on Theoretical BER for a Block Code Estimate Coded BER Performance of 16-QAM in AWGN Limitations More About References See Also This is machine translation Translated by Mouse over text to see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate bercodingBit error rate (BER) for coded AWGN channelscollapse all in page Syntaxberub = bercoding(EbNo,'conv
',decision,coderate,dspec) berub = bercoding(EbNo,'block','hard',n,k,dmin) berub = bercoding(EbNo,'block','soft',n,k,dmin) berapprox = bercoding(EbNo,'Hamming','hard',n) berub = bercoding(EbNo,'Golay','hard',24) berapprox = bercoding(EbNo,'RS','hard',n,k) berapprox = bercoding(...,modulation)AlternativesAs an alternative to the bercoding function, invoke the BERTool GUI (bertool) and use the Theoretical tab.Descriptionberub = bercoding(EbNo,'conv
',decision,coderate,dspec) returns an upper bound or
Search All Support Resources Support Documentation MathWorks Search MathWorks.com MathWorks Documentation Support Documentation Toggle navigation Trial Software Product Updates Documentation Home Communications System Toolbox Examples Functions and Other Reference Release Notes PDF Documentation End-to-End Simulation Sources and Sinks Communications System Toolbox Measurements, Visualization, and Analysis Communications System Toolbox Functions biterr On this page Syntax Description For All Syntaxes For Specific Syntaxes Examples Bit Error Rate Computation Estimate Bit Error Rate for 64-QAM in AWGN See Also This is machine translation Translated by Mouse over text to https://www.mathworks.com/help/comm/ref/bercoding.html see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish https://www.mathworks.com/help/comm/ref/biterr.html Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate biterrCompute number of bit errors and bit error rate (BER)collapse all in page Syntax[number,ratio] = biterr(x,y) [number,ratio] = biterr(x,y,k) [number,ratio] = biterr(x,y,k,flg) [number,ratio,individual] = biterr(...)
DescriptionFor All SyntaxesThe biterr function compares unsigned binary representations of elements in x with those in y. The schematics below illustrate how the shapes of x and y determine which elements biterr compares. Each element of x and y must be a nonnegative decimal integer; biterr converts each element into its natural unsigned binary representation. number is a scalar or vector that indicates the number of bits that differ. ratio is number divided by the total number of bits. The total number of bits, the size of number, and the elements that biterr compares are determined by the dimensions of x and y and by the optional parameters.For Specific
Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers http://dsp.stackexchange.com/questions/1186/matlab-plot-of-qpsk-system-doesnt-agree-perfectly-with-theoretical-ber-curves or posting ads with us Signal Processing Questions Tags Users Badges Unanswered Ask Question _ Signal Processing Stack Exchange is a question and 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 answer The best answers are voted up and rise to the top Matlab plot of QPSK system doesn't agree perfectly with probability of theoretical BER curves up vote 9 down vote favorite 2 Does anyone know if there is a simple explanation on the fact that the theoretical bit-error rate (BER) curves of a Quadrature phase-shift keying (QPSK) system are approximately 1 dB shifted from the simulated curves? matlab qpsk share|improve this question edited Apr 17 '12 at 9:01 Dipan Mehta 4,13611442 asked Jan 19 '12 at 19:16 George migrated from electronics.stackexchange.com Jan 19 '12 at 20:32 This question came from our site probability of bit for electronics and electrical engineering professionals, students, and enthusiasts. If it's not too long, can you share your code? It could be a variety of things. –jeep9911 Jan 19 '12 at 19:39 @George - Please post your code as requested by jeep9911! Without it, we can only guess at potential causes. I'm moving this question to our site for digital signal processing, they'll be better able to help you there. –Kevin Vermeer Jan 19 '12 at 20:31 2 Perhaps you could also share the expression used to compute the theoretical BER curve? There have been many cases where the curve derived from the theoretical expression for the symbol error probability has been compared with the simulated curve for the bit error probability (and vice versa) resulting in much confusion and heartache. Errors in computing SNR, or translating a given SNR to signal amplitudes, are common too. –Dilip Sarwate Jan 19 '12 at 22:18 add a comment| 1 Answer 1 active oldest votes up vote 9 down vote The simple explanation is that there is an error in your simulation. Here's one that works in MATLAB: % number of symbols in simulation Nsyms = 1e6; % energy per symbol Es = 1; % energy per bit (2 bits/symbol for QPSK) Eb = Es / 2; % Eb/No values to simulate at, in dB EbNo_dB = linspace(0, 10, 11); % Eb/No values in linear sc
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