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Titlebook: MATLAB? Software for the Code Excited Linear Prediction Algorithm; The Federal Standard Karthikeyan N. Ramamurthy,Andreas S. Spanias Book 2

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樓主: Chylomicron
21#
發(fā)表于 2025-3-25 06:17:48 | 只看該作者
R. F. Wattershysmogram (PPG). The goal of this study is to propose an alternative method, for obtaining accurate estimation of respiratory rate (RR) from the PPG signal. The proposed algorithm is based on the multiple autoregressive models and autocorrelation analysis (AC-AR). In AC-AR, the autoregressive model
22#
發(fā)表于 2025-3-25 08:38:47 | 只看該作者
23#
發(fā)表于 2025-3-25 14:05:33 | 只看該作者
Zoltan Z. Nagy M.D., Ph.D., D.Sc.is scarce.Helps policy makers, lobbyists, students, and rese.This book combines insights from cultural economics, public finance, and tax law, providing an accessible and comprehensive introduction in the application of tax incentives for the creative industries. It does not have a single-country fo
24#
發(fā)表于 2025-3-25 18:01:30 | 只看該作者
25#
發(fā)表于 2025-3-25 21:37:31 | 只看該作者
Implementation and Experimental Evaluation of Graph Connectivity Algorithms Using LEDA of efficient data types and algorithms [.,.]. Moreover, we provide experimental evaluations of the implemented algorithms and we compare their performance to other graph connectivity algorithms currently implemented in LEDA..The first algorithm is the Karp and Tarjan algorithm [.] for finding the c
26#
發(fā)表于 2025-3-26 03:37:44 | 只看該作者
27#
發(fā)表于 2025-3-26 05:03:30 | 只看該作者
Profile and Motivations of Consumers of Organic Productsealth, the environment, and animal welfare. Consequently, consumption of organic products has been increasing, through the consumer’s appreciation of the non-use of pesticides and fertilizers, genetically modified organisms or growth stimulants. The objective was to understand the motivations and at
28#
發(fā)表于 2025-3-26 11:29:34 | 只看該作者
A Comparative Analysis of Pneumonia Detection Using Chest X-rays with DNN,d other lung disorders, the diagnosis of pneumonia using chest X-ray images presents a significant challenge. Due to this issue, higher levels of accuracy cannot be gained from the recent approaches for detecting pneumonia. In this research, pneumonia is classified using deep learning algorithms. CN
29#
發(fā)表于 2025-3-26 14:37:42 | 只看該作者
30#
發(fā)表于 2025-3-26 17:01:20 | 只看該作者
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