Lecture Digital signal processing

After studying this chapter you will be able to: Understand how to convert the analog to digital signal, have a thorough grasp of signal processing in linear time-invariant systems, understand the z-transform and Fourier transforms in analyzing the signal and systems, be able to design and implement FIR and IIR filters.

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This chapter introduce sampling and reconstruction. After studying this chapter you will be able to: Sampling theorem, spectrum of sampling signals, anti-aliasing pre-filter, analog reconstruction. Inviting you refer.

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Chapter 2 introduce you to quantization. In this chapter, you will learn to: Quantization process, digital to analog converters (DACs), A/D converters, oversampling noise shaping,...and another contents.

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Lecture Digital signal processing - Chapter 4: FIR filtering and convolution includes content: Block processing methods (Convolution: direct form, convolution table; convolution: LTI form, LTI table; matrix form; flip-and-slide form; overlap-add block convolution method), sample processing methods.

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Lecture Digital signal processing - Chapter 6 introduce transfer function and digital filter realization. In this chapter, you will learn to: Transfer functions (Impulse response, difference equation, impulse response,...), digital filter realization (Direct form, canonical form, cascade form).

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After studying this chapter students will be able to understand frequency analysis of signals and systems. This chapter includes content: Discrete time fourier transform DTFT, discrete fourier transform DFT, fast fourier transform FFT.

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Chapter 3 presents the discrete-time systems. In this chapter, you will learn to: Input/output relationship of the systems, linear time-invariant (LTI) systems, FIR and IIR filters, causality and stability of the systems.

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Chapter 5 introduce z-Transform. In this chapter, you learned to: The z-transform, properties of the z-transform, causality and stability, inverse z-transform.

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