full screen
Home > General > RFL Matlab Filter for Grid Cluster Estimation
RFL Matlab Filter for Grid Cluster Estimation

RFL Matlab Filter for Grid Cluster Estimation


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
About the Book

Aquib Hussain presents a novel method for handling the challenging subject of grid cluster estimation in "RFL Matlab Filter for Grid Cluster Estimation," which makes use of MATLAB's strength and adaptability. Hussain, a seasoned specialist in estimating and signal processing, introduces a novel RFL (Recursive Frequency Linearization) filter created especially for precise and effective grid clustering.
The first section of the book provides a thorough introduction to grid clustering difficulties and stresses the need of accurate estimation in a range of applications. Hussain then explores the RFL filter's theoretical underpinnings, providing readers with a clear grasp of how this MATLAB-based tool improves grid cluster estimate accuracy. Because of the author's careful examination of the filter's internal mechanisms, MATLAB users with varying levels of experience can utilize it to good success.
Through the implementation of the RFL filter in grid cluster estimation scenarios, readers are led on a practical journey. Hussain uses case studies and real-world examples to highlight the adaptability and dependability of this cutting-edge instrument. The RFL filter can be used to increase the accuracy of grid cluster estimate, which can improve performance in a variety of industries including power systems, telecommunications, and signal processing. This information will be of great use to engineers, researchers, and students.
"RFL Matlab Filter for Grid Cluster Estimation" is a standout resource for anyone looking for a thorough manual on sophisticated MATLAB estimation methods. Hussain's work is a vital resource for experts looking to improve grid estimate procedures since it gives both theoretical depth and useful answers. This book represents a major advance in the area and puts MATLAB users at the forefront of grid cluster estimating developments.
In conclusion, MATLAB practitioners and fans alike can benefit much from Aquib Hussain's "RFL Matlab Filter for Grid Cluster Estimation" as it provides a special and effective tool. For anyone wishing to improve their comprehension and application of grid cluster estimation approaches, this book is a must-read because it combines theoretical underpinnings, useful applications, and real-world examples.



Best Sellers



Product Details
  • ISBN-13: 9798869073709
  • Publisher: Shamma API
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 286 gr
  • ISBN-10: 886907370X
  • Publisher Date: 20 Dec 2023
  • Height: 229 mm
  • No of Pages: 170
  • Spine Width: 9 mm
  • Width: 152 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
RFL Matlab Filter for Grid Cluster Estimation
Shamma API -
RFL Matlab Filter for Grid Cluster Estimation
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

RFL Matlab Filter for Grid Cluster Estimation

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Booksbay (the "CRR Service").


    By submitting any content to Booksbay, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Booksbay (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Booksbay a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Booksbay may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Booksbay's sole discretion. Booksbay reserves the right to change, condense, withhold publication, remove or delete any content on Booksbay's website that Booksbay deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Booksbay does not guarantee that you will have any recourse through Booksbay to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Booksbay reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Booksbay, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Booksbay, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!