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MATLAB BASED DIGITAL SIGNAL PROCESSING LABORATORY MANUAL

MATLAB BASED DIGITAL SIGNAL PROCESSING LABORATORY MANUALvon Krishna Reddy G Sie sparen 18% des UVP sparen 18%
Über MATLAB BASED DIGITAL SIGNAL PROCESSING LABORATORY MANUAL

This book provides a comprehensive exploration of various experiments, covering topics such as finding the Z-Transform of a given discrete time signal, locating Zeros and Poles, and plotting Pole-Zero maps in the Z-Plane for a given transfer function. It also delves into determining the Discrete Fourier Transform (DFT) and Inverse DFT (IDFT) of discrete time signals, analyzing the response of Linear Time-Invariant (LTI) systems through graphical approaches to Linear Convolution. Additionally, it explains the process of determining the Power Spectrum of a given signal using the Wiener-Khinchin relation, verifying Parseval's theorem of the Discrete Fourier Transform, calculating the Frequency Response of a system given in Transfer Function/Difference Equation form, implementing the Fast Fourier Transform (FFT) for a given sequence, and constructing Low Pass and High Pass Finite Impulse Response (FIR) Filters using the Windowing technique. The book also covers the implementation of Band Pass and Band Reject FIR Filters using the Windowing technique, as well as the implementation of Low Pass Analog and Digital Butterworth Infinite Impulse Response (IIR) Filters.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786206185017
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 100
  • Veröffentlicht:
  • 11. Juli 2023
  • Abmessungen:
  • 150x6x220 mm.
  • Gewicht:
  • 167 g.
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Beschreibung von MATLAB BASED DIGITAL SIGNAL PROCESSING LABORATORY MANUAL

This book provides a comprehensive exploration of various experiments, covering topics such as finding the Z-Transform of a given discrete time signal, locating Zeros and Poles, and plotting Pole-Zero maps in the Z-Plane for a given transfer function. It also delves into determining the Discrete Fourier Transform (DFT) and Inverse DFT (IDFT) of discrete time signals, analyzing the response of Linear Time-Invariant (LTI) systems through graphical approaches to Linear Convolution. Additionally, it explains the process of determining the Power Spectrum of a given signal using the Wiener-Khinchin relation, verifying Parseval's theorem of the Discrete Fourier Transform, calculating the Frequency Response of a system given in Transfer Function/Difference Equation form, implementing the Fast Fourier Transform (FFT) for a given sequence, and constructing Low Pass and High Pass Finite Impulse Response (FIR) Filters using the Windowing technique. The book also covers the implementation of Band Pass and Band Reject FIR Filters using the Windowing technique, as well as the implementation of Low Pass Analog and Digital Butterworth Infinite Impulse Response (IIR) Filters.

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