TAILIEUCHUNG - Lecture Digital signal processing: Lecture 6 - Zheng-Hua Tan

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. | Digital Signal Processing Fall 2006 Lecture 6 System structures for implementation Zheng-Hua Tan Department of Electronic Systems Aalborg University Denmark zt@ 1 Digital Signal Processing VI Zheng-Hua Tan 2006 UNIVI-RSI I Y Course at a glance MM3 MM9 MM10 2 Digital Signal Processing VI Zheng-Hua Tan 2006 1 System implementation LTI systems with rational system function . H z b 0 bZ z l l 1 - az Impulse response h n b0 anu n b1a 1u n -1 Linear constant-coefficient difference equation y n - ay n -1 b0x n b1 x n -1 Three equivalent representations How to implement . convert to an algorithm or structure 3 Digital Signal Processing VI Zheng-Hua Tan 2006 AALBORG UNIVERSITY System implementation The input-output transformation x n y n can be computed in different ways - each way is called an implementation An implementation is a specific description of its internal computational structure The choice of an implementation concerns with computational requirements memory requirements effects of finite-precision and so on 4 Digital Signal Processing VI Zheng-Hua Tan 2006 AALBORG UNIVERSITY 2 Part I Block diagram representation Block diagram representation of computational structures Signal flow graph description Basic structures for IIR systems Transposed forms Basic structures for FIR systems 5 Digital Signal Processing VI Zheng-Hua Tan 2006 AALBORG UNIVERSITY System implementation Impulse response h n b0 anu n b1an-1u n -1 y n x n h n is infinite-duration impossible to implement in this way. However linear constant-coefficient difference equation provides a means for recursive computation of the output y n - ay n -1 b0x n b1 x n -1 y n ay n -1 b0x n b1 x n -1 6 Digital Signal Processing VI Zheng-Hua Tan 2006 AALBORG UNIVERSITY

• Kĩ thuật Viễn thông
• Digital signal processing
• Digital signal
• Lecture Digital signal processing
• Discrete time signals
• Block diagram representation
• Signal flow graph description
• Xử lý tín hiệu số
• 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
• 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
• Sampling theorem
• Analog reconstruction
• 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