找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Digital Signal Processing; Illustration Using P S Esakkirajan,T Veerakumar,Badri N Subudhi Textbook 2024 The Editor(s) (if applicable) and

[復制鏈接]
查看: 49870|回復: 50
樓主
發(fā)表于 2025-3-21 19:06:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Signal Processing
副標題Illustration Using P
編輯S Esakkirajan,T Veerakumar,Badri N Subudhi
視頻videohttp://file.papertrans.cn/280/279670/279670.mp4
概述Presents illustrations of signal processing algorithms using Python..Gives detailed inferences for each experiment..Provides case studies that include speech signal analysis, power line signal analysi
圖書封面Titlebook: Digital Signal Processing; Illustration Using P S Esakkirajan,T Veerakumar,Badri N Subudhi Textbook 2024 The Editor(s) (if applicable) and
描述.Digital signal processing deals with extraction of useful information from signals. Signal processing algorithms help observe, analyse and transform signals.? The objective of this book is to develop signal processing algorithms using Python. Python is an interpreted, object-oriented high-level programming language widely used in various software development fields such as data science, machine learning, web development and more. .Digital Signal Laboratory is playing an important role in realizing signal processing algorithms, utilizing different software solutions. The intention of this textbook is to implement signal processing algorithms using Python. Since Python is an open-source language, students, researchers, and faculty can install and work with it without spending money, reducing the financial burden on institutions. Each chapter in this book begins with prelab questions, a set of Python examples to illustrate the concepts, exercises to strengthen the understanding of the concepts, and objective questions to help students prepare for competitive examinations.? ?.This book serves as an undergraduate textbook, it can be used for individual study, and it can also be used as
出版日期Textbook 2024
關鍵詞Digital Signal Processing using Python; Laboratory experiments using Python; Signal Analysis using Pyt
版次1
doihttps://doi.org/10.1007/978-981-99-6752-0
isbn_softcover978-981-99-6751-3
isbn_ebook978-981-99-6752-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Digital Signal Processing影響因子(影響力)




書目名稱Digital Signal Processing影響因子(影響力)學科排名




書目名稱Digital Signal Processing網絡公開度




書目名稱Digital Signal Processing網絡公開度學科排名




書目名稱Digital Signal Processing被引頻次




書目名稱Digital Signal Processing被引頻次學科排名




書目名稱Digital Signal Processing年度引用




書目名稱Digital Signal Processing年度引用學科排名




書目名稱Digital Signal Processing讀者反饋




書目名稱Digital Signal Processing讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 20:32:08 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:00:32 | 只看該作者
S Esakkirajan,T Veerakumar,Badri N SubudhiPresents illustrations of signal processing algorithms using Python..Gives detailed inferences for each experiment..Provides case studies that include speech signal analysis, power line signal analysi
地板
發(fā)表于 2025-3-22 06:50:45 | 只看該作者
http://image.papertrans.cn/d/image/279670.jpg
5#
發(fā)表于 2025-3-22 11:34:36 | 只看該作者
S. H. Farooq,D. ChandrasekharamAfter completing this chapter, the reader should be able to
6#
發(fā)表于 2025-3-22 13:13:16 | 只看該作者
S. H. Farooq,D. ChandrasekharamAfter reading this chapter, the reader is expected to
7#
發(fā)表于 2025-3-22 20:34:48 | 只看該作者
8#
發(fā)表于 2025-3-22 21:43:25 | 只看該作者
9#
發(fā)表于 2025-3-23 01:54:27 | 只看該作者
10#
發(fā)表于 2025-3-23 06:32:09 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-22 00:56
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
台湾省| 乳源| 南投市| 神池县| 陕西省| 永德县| 神农架林区| 陇川县| 乌拉特前旗| 南康市| 彰武县| 尼玛县| 涟源市| 和龙市| 武夷山市| 佛教| 镇平县| 新昌县| 连平县| 滨海县| 政和县| 顺昌县| 崇仁县| 酉阳| 隆化县| 赞皇县| 拉孜县| 昆明市| 临夏县| 永寿县| 靖安县| 莒南县| 莱阳市| 蓝山县| 吴忠市| 黄龙县| 林口县| 衡水市| 富平县| 蓬安县| 利辛县|