Ask a Question

What is the model that has been adopt for characterizing round of errors in multiplication?

← Prev Question Next Question →
+1 vote
165 views
in Digital Signal Processing by (829k points)
What is the model that has been adopt for characterizing round of errors in multiplication?

(a) Multiplicative white noise model

(b) Subtractive white noise model

(c) Additive white noise model

(d) None of the mentioned

The question was posed to me in class test.

The above asked question is from Quantization Effects in the Computation of DFT in section DFT Efficient Computation – Fast Fourier Transform Algorithms of Digital Signal Processing

1 Answer

+1 vote
by (1.4m points)
selected by
 
Best answer
The correct option is (c) Additive white noise model

To explain: Additive white noise model is the model that we use in the statistical analysis of round off errors in IIR and FIR filters.

Related questions

Welcome to TalkJarvis QnA, a question-answer community website for the people by the people. On TalkJarvis QnA you can ask your doubts, curiosity, questions and whatever going in your mind either related to studies or others. Experts and people from different fields will answer.

Most popular tags

biology – class 12 biology – class 11 construction & building materials chemistry – class 12 electronic devices & circuits network theory data structures & algorithms ii cell biology ic engine insurance finance money computational fluid dynamics engineering physics i discrete mathematics chemistry – class 11 aerodynamics casting-forming-welding i engineering mathematics operating system casting-forming-welding ii engineering drawing mysql engineering geology digital circuits wireless mobile energy management electrical measurements digital communications cyber security analytical instrumentation embedded systems electric drives cytogenetics computer fundamentals life sciences basic civil engineering advanced machining iot design of electrical machines physics – class 12 applied chemistry dairy engineering basic chemical engineering cloud computing microprocessor bioinformatics aircraft design aircraft maintenance software engineering drug biotechnology digital signal processing biochemistry data structures & algorithms i automotive engine design avionics engineering material & metallurgy energy engineering cognitive radio unix electrical machines biomedical instrumentation object oriented programming electromagnetic theory power electronics analog communications bioprocess engineering civil engineering drawing engineering metrology physics – class 11 mathematics – class 12 engineering chemistry i basic electrical engineering unit processes mongodb signals and systems cryptograph & network security hadoop mathematics – class 11 engineering physics ii html control systems engineering mechanics antennas analog circuits computer network java sql server javascript concrete technology chemical process calculation artificial intelligence design of steel structures c++ database management computer architecture engineering chemistry ii corrosion engineering chemical technology dc machines
Powered by TalkJarvis
...