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No Strings Attached

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(Complete Item Description)
- Abstract:
Digital Signal Processing: A User's Guide is intended both for the practicing engineer with a basic knowledge of DSP and for a second course in signal processing at the senior or first-year postgraduate level. FFTs, digital filter design, adaptive filters, and multirate signal processing are covered with an emphasis on the techniques that have found wide use in practice.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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(Complete Item Description)
- Abstract:
This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and nonrecursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
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MIT OpenCourseWare
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(Complete Item Description)
- Abstract:
This book starts with a very brief development of signals and systems. It then develops the characteristics and the design of finite impulse response (FIR) digital filters. That is followed by developing the characteristics and the design of infinite impulse response (IIR) digital Filters.
- Subject:
- Mathematics and Statistics, Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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