Lecture 6 - System structures for implementation presents the following content: Block diagram representation of computational structures, signal flow graph description, basic structures for IIR systems, transposed forms, basic structures for FIR systems.

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Lecture Signal processing introduction the signals, systems, analog, digital, and mixed signals processing, applications of digital signal processing. Inviting you refer.

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The main contents of this chapter include all of the following: Direct computation of the DFT, decimation-in-time FFT algorithms, decimation-in-frequency FFT algorithms, fourier analysis of signals using the DFT.

 15 p vaa 30/05/2018 416 1 Download

In this lecture you will learn: System impulse response, linear constant-coefficient difference equations, fourier transforms and frequency response. Inviting you refer.

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Lecture Digital signal processing - Lecture 1 introduction, discrete-time signals and systems. After completing this chapter, students will be able: To make the students able to apply digital filters according to known filter specifications, to provide the knowledge about the principles behind the discrete Fourier transform (DFT) and its fast computation,...

 23 p vaa 30/05/2018 408 1 Download

Lecture Digital signal processing - Lecture 4 introduce the discrete fourier transform. This lesson presents the following content: The discrete Fourier series, the Fourier transform of periodic signals, sampling the Fourier transform, the discrete Fourier transform, properties of the DFT, linear convolution using the DFT.

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Lecture Digital signal processing - Lecture 4 present sampling and reconstruction. The main contents of this chapter include all of the following: Periodic sampling, „frequency domain representation, reconstruction, changing the sampling rate using discretetime processing.

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Lecture Signal processing: The discrete fourier transform include all of the following content: Computational fourier analysis, the discrete fourier transform, sampling the discrete – time fourier transform, properties of the discrete fourier transform,... and another content.

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Chapter 3 introduce the z-transform. This chapter presents the following content: z-transform, properties of the ROC, inverse z-transform, properties of z-transform.

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Lecture Signal processing: Fourier representation of signals include all of the following content: Sinusoidal signals and their properties, fourier representation of continuous – time signals, fourier representation of discrete – time signals, summary of fourier series and fourier transforms, properties of the discrete – time fourier transform.

 77 p vaa 30/05/2018 368 1 Download

Lecture Digital signal processing - Lecture 7 presents the following content: Filter design, IIR filter design, analog filter design, IIR filter design by impulse invariance, IIR filter design by bilinear transformation.

 21 p vaa 30/05/2018 366 1 Download

In this chapter, the following content will be discussed: Discrete – time signals, discrete – time systems, convolution description of linear time – invariant systems, properties of linear time – invariant systems, analytic evaluation of convolution, numerical computation of convolution, real – time implementation of FIR filters,...

 74 p vaa 30/05/2018 353 1 Download