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Titlebook: Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications; K.S. Thyagarajan Textbook 2019 Springer

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發(fā)表于 2025-3-21 16:30:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
編輯K.S. Thyagarajan
視頻videohttp://file.papertrans.cn/474/473623/473623.mp4
概述Based on the author’s popular online courses in signal processing at UC San Diego.Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathema
圖書封面Titlebook: Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications; K.S. Thyagarajan Textbook 2019 Springer
描述This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author‘s popular online course at University of California, San Diego
出版日期Textbook 2019
關鍵詞Digital Signal Processing (DSP); DSP textbook; IIR Filter; FIR Filter; Z-transform; Phase Equalization; Wi
版次1
doihttps://doi.org/10.1007/978-3-319-76029-2
isbn_softcover978-3-030-09384-6
isbn_ebook978-3-319-76029-2
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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發(fā)表于 2025-3-21 20:18:35 | 只看該作者
Discrete Fourier Transform, is an efficient algorithm known as the fast Fourier transform (FFT) to perform filtering of long sequences, power spectrum estimation, and related tasks. We will learn about the FFT in this chapter as well.
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發(fā)表于 2025-3-22 01:36:33 | 只看該作者
Fast Fourier Transform,at we may be able to come up with a more efficient computational algorithm. To this end, let us first evaluate the computational complexity of computing an N-point DFT using brute-force method. Consider an N-point discrete-time sequence {.[.]}, 0?≤?.?≤?.???1, .?∈?.. Its DFT is given by
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K.S. ThyagarajanBased on the author’s popular online courses in signal processing at UC San Diego.Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathema
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https://doi.org/10.1007/978-3-319-76029-2Digital Signal Processing (DSP); DSP textbook; IIR Filter; FIR Filter; Z-transform; Phase Equalization; Wi
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