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Applied Signal Processing

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Applied Signal Processing
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10 034,00 JPY
Typical price965,72 PLN
Lowest (90 days)72,79 PLN
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2026-08-08 2026-08-15
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2026-08-0872,79
2026-08-1572,79
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SP SpringerNatureLink Shop INT 10 009,00 JPY 25,00 JPY 10 034,00 JPY Tersedia 5 hari yang lalu View offer
SP Springer Nature Author 10 009,00 JPY free 10 009,00 JPY Tersedia 1 minggu yang lalu View offer
SP SpringerNatureLink Shop INT 76,29 EUR free 76,29 EUR Tersedia 5 hari yang lalu View offer
VI VitalSource 455,40 ZAR 25,00 ZAR 480,40 ZAR Tersedia 1 minggu yang lalu View offer

Harga dan ketersediaan dapat berubah. Terakhir Diperbarui: 08.08.2026 23:19.

EAN 9780387745343
Springer Nature
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Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code. Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.

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