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digital signal processing solutions manual
If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.If you wish to opt out, please close your SlideShare account. Learn more. You can change your ad preferences anytime. For help you can check writing expert. Check out, please ? www.WritePaper.info ? I think they are the bestDigital Signal Processing. A Computer-Based Approach. Second Edition. Sanjit K. Mitra. Prepared by. Rajeev Gandhi, Serkan Hatipoglu, Zhihai He, Luca Lucchese. Michael Moore, and Mylene Queiroz de FariasChapter 2P(z). D' (z). D' (z ). Chapter 4Chapter 5L ? z?? ?Chapter 9. Chapter 10From the figure shown below we obtainFrom the figure shown below we obtainA oeAo e oConsider the input. Hence, the system is linear.Hence, the factor-of-2Since there is no output before the input hence the system is causal.Since there is no output before the input hence the system is causal. Here, a bounded input produces bounded output hence the system is BIBO stable too.Since there is no output before the input hence the system is causal. Here, a bounded input produces bounded output hence the system is BIBO stable too. Also following an analysis similar to that in part (a) it is easy to show that the system is timeinvariant.Since there is output before the input hence the system is non-causal. Here, a bounded input produces bounded output hence the system is BIBO stable.The system is linear, stable, non causal. Hence the system is time-varying. The given system is linear, causal, stable and time-invariant. Hence the system is linear.
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For a discrete LTI systemFrom the results of ProblemHence for the given sequencesHence in this case the problem is againHere, again an interchange ofHence for the convolution to be associative, it is sufficient that the sequences be stable andGeneralizing the above result it can be shown that for an N-th order causal discrete timeHence a single input, two output difference equation isSubstituting the above in Eq. (1) we getHence the inverse system is characterised by the difference equationFrom the figure shown below we observeHence the impulse response is given byTo determine these coefficients from the impulse. To illstrate the method, without. Writing the last three equations in matrix form we arrive atThus, the difference equation representation is given byFrom the solution of the previous problem we observe that the complementary is of the. For the given initial conditions we thus haveThusNow,Type. Type. TypeType. Type. TypeReal partThe displayed output is. Square root of alpha isFor example, for a lengthChapter 3 (2e)X 2 (e j? ) is the square of an odd function, they are both even functions of ?. Hence,X(e j? ) is an even function of ?.Hence, arg X(e j? ) is an odd function of ?.Xre (eTherefore, jG(e ) eX(eFor a real sequence,X re (e j? ). X re (e ). Xim (e j? )X(e j? )sin(?n)d?A j? A ? j?Now customize the name of a clipboard to store your clips. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. You can download the paper by clicking the button above. Related Papers Solution Manual By Saif Ali Digital Signal Processing: A Computer-Based Approach Third Edition By Joyce Huang Contents By Phan Van Toi Dang Digital Signal Processing: A Computer-Based Approach Second Edition By Aamir Sultan Signals and Systems 2Ed Haykin Solutions Manual By ?? ? READ PAPER Download pdf. Get started with a FREE account. University of California Digital Signal Processing,Mitra, Solution.
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D' (z). D' (z ). Chapter 4Chapter 5L ? z?? ?Chapter 9. Chapter 10From the figure shown below we obtainFrom the figure shown below we obtainA oeAo e oConsider the input. Hence, the system is linear.Hence, the factor-of-2Since there is no output before the input hence the system is causal.Since there is no output before the input hence the system is causal. Here, a bounded input produces bounded output hence the system is BIBO stable too.Since there is no output before the input hence the system is causal. Here, a bounded input produces bounded output hence the system is BIBO stable too. Also following an analysis similar to that in part (a) it is easy to show that the system is timeinvariant.Since there is output before the input hence the system is non-causal. Here, a bounded input produces bounded output hence the system is BIBO stable.The system is linear, stable, non causal. Hence the system is time-varying. The given system is linear, causal, stable and time-invariant. Hence the system is linear.For a discrete LTI systemFrom the results of ProblemHence for the given sequencesHence in this case the problem is againHere, again an interchange ofHence for the convolution to be associative, it is sufficient that the sequences be stable andGeneralizing the above result it can be shown that for an N-th order causal discrete timeHence a single input, two output difference equation isSubstituting the above in Eq. (1) we getHence the inverse system is characterised by the difference equationFrom the figure shown below we observeHence the impulse response is given byTo determine these coefficients from the impulse. To illstrate the method, without. Writing the last three equations in matrix form we arrive atThus, the difference equation representation is given byFrom the solution of the previous problem we observe that the complementary is of the. For the given initial conditions we thus haveThusNow,Type. Type. TypeType. Type. TypeReal partThe displayed output is.
Square root of alpha isFor example, for a lengthChapter 3 (2e)X 2 (e j? ) is the square of an odd function, they are both even functions of ?. Hence,X(e j? ) is an even function of ?.Hence, arg X(e j? ) is an odd function of ?.Xre (eTherefore, jG(e ) eX(eFor a real sequence,X re (e j? ). X re (e ). Xim (e j? )X(e j? )sin(?n)d?A j? A ? j?Now customize the name of a clipboard to store your clips. Discover everything Scribd has to offer, including books and audiobooks from major publishers. Start Free Trial Cancel anytime. Report this Document Download Now Save Save Digital Signal Processing,Mitra,Solution Manual.pd. For Later 0 ratings 0 found this document useful (0 votes) 44 views 355 pages Digital Signal Processing,Mitra,Solution Manual.pdf Uploaded by Sayem Description: Full description Save Save Digital Signal Processing,Mitra,Solution Manual.pd. For Later 0 0 found this document useful, Mark this document as useful 0 0 found this document not useful, Mark this document as not useful Embed Share Print Download Now Jump to Page You are on page 1 of 355 Search inside document Browse Books Site Directory Site Language: English Change Language English Change Language. The site may not work properly if you don't update your browser. If you do not update your browser, we suggest you visit old reddit. Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts Log in sign up User account menu 0 Important:-Solution manual for Digital Signal Processing - Computer Based Approach - Sanjit K. Mitra- Fourth Edition.
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But the sqnr improves as the numberIt can be seen that theoretical sqnr is muchThe decrease in the sqnr is because of the truncationThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.The latter is easily proved.Note that the bounded inputSimilarly, ifThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.For T2, if. Hence, For T1 T2, ifThen,Then. Hence T is linear.T1 is stable ? v(n) is bounded if x(n) is bounded. T2 is stable ? y(n) is bounded if v(n) is bounded.This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.T is noncausal. Example. T1: y(n). T2: y(n)Hence, the inverse of (h) is false.This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.PnButTherefore,Hence,For a BIBO stable system,The total solution isThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis.
ISBN 0-13-187374-1.Partial overlap from right:This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.The characteristic equation isThe characteristic equation isThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.Hence h(n)This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.From figure P2.33,Hence, y(n)Then x(n)Time Invariance:This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.Figure 2.44-2:This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.Figure 2.46-1:This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis.
ISBN 0-13-187374-1.Therefore, X(z)X(z)Hence, X(z). ButThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.ButHence there is a pole-zero cancellation soThis material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.X1 (z). The ROC isX3 (z). The ROC isX(z)X(z)X(z)Hence Xr (z) converges for. Left-sided sequence:xl (n)From the final value theoremTherefore,x(n)This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.Hence,x(n)This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.X(z)Bz ?1X(z)This material is protected under all copyright lawsNo portion of this material may be reproduced, in any form or by any means, without permission inFor the exclusive use of adopters of the book Digital Signal Processing, Fourth Edition, by John G. Proakis and Dimitris G. Manolakis. ISBN 0-13-187374-1.A(1 ? 21 z ?1 )z ?1. Cz ?