TAILIEUCHUNG - Lecture Digital signal processing: Chapter 1 - Nguyen Thanh Tuan

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. | 1 Sampling and Reconstruction Nguyen Thanh Tuan . B 1 Department of Telecommunications 113B3 1 Ho Chi Minh City University of Technology Email nttbk97@ 1 Content Sampling Q Sampling theorem Q Spectrum of sampling signals Anti-aliasing pre-filter Q Ideal pre-filter Q Practical pre-filter Analog reconstruction Q Ideal reconstructor Q Practical reconstructor Digital Signal Processing 2 Sampling and Reconstruction 1. Introduction A typical signal processing system includes 3 stages AA sampler and quantizer 10011101 I OHO . . . digital signal processor 110010100 1101 . . . analog Z AA analog input digital digital constructor analog input output output The analog signal is digitalized by an A D converter The digitalized samples are processed by a digital signal processor. o The digital processor can be programmed to perform signal processing operations such as filtering spectrum estimation. Digital signal processor can be a general purpose computer DSP chip or other digital hardware. The resulting output samples are converted back into analog by a D A converter. Digital Signal Processing 3 Sampling and .

• Kĩ thuật Viễn thông
• Digital signal processing
• Xử lý tín hiệu số
• Lecture Digital signal processing
• Digital signal
• Sampling theorem
• Analog reconstruction
• Signal processing
• DSP applications
• Digital Signal Processing Research Program
• Avanced Telecommunications and Signal Processing Program
• Signal Processing Program
• Combined Source
• Block processing methods
• Sample processing methods
• VLSI Digital signal processing systems
• DSP systems
• FIR Digital Filters
• Parallel processing
• Digital signal processing: Principles Algorithms and Applications
• Fast fourier transform algorithms
• Discrete time systems
• Design of digital filters
• Multirate digital signal processing
• Lecture Signal processing
• Xử lý tín hiệu
• Mixed signals processing
• Applications of digital signal processing
• Discrete time signals
• Block diagram representation
• Signal flow graph description
• Quantization process
• Digital to analog converters
• Transfer functions
• Digital filter realization
• Discrete time signal
• Ultrasound signal processing
• Hardware software partitioning
• Digital signal processing systems
• Ultrasound devices
• The z transform
• Properties of the z transform
• Discrete time fourier transform
• Discrete fourier transform
• Types of signals
• System impulse response
• Fourier transforms
• Inverse z transform
• Properties of z transform
• Periodic sampling
• „Frequency domain representation
• System analysis
• Frequency response
• Filter design
• IIR filter design
• FIR filter design
• Linear phase FIR filter
• Fourier transform
• Fast fourier transform
• Decimation in time FFT algorithms
• Loop bound
• DSP programs