TAILIEUCHUNG - Lecture Digital signal processing: Lecture 7 - Zheng-Hua Tan

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. | Course at a glance MM3 MM9 MM10 2 Digital Signal Processing VII Zheng-Hua Tan 2006 AALBORG UNIVERSITY 1 Part I Filter design Filter design IIR filter design Analog filter design IIR filter design by impulse invariance IIR filter design by bilinear transformation Digital Signal Processing VII Zheng-Hua Tan 2006 Filter design process Filter in broader sense covers any system. Three design steps Problem Performance constraints System function Solution Specifications Approximations realization Magnitude response Phase response frequency domain Complexity IIR or FIR Subtype Structure Digital Signal Processing VII Zheng-Hua Tan 2006 2 Specifications - an example Specifications for a discrete-time lowpass filter 1 - H e a 1 0 a ap H e . . . l-Sj 5. Ổ1 Ổ2 Passband I Transition J Stopband 82 0 Specifications of frequency response Typical lowpass filter specifications in terms of tolerable Passband distortion as smallest as possible Stopband attenuation as greatest as possible Width of transition band as narrowest as possible Improving one often worsens others a tradeoff Increasing filter order improves all 6 Digital Signal Processing VII Zheng-Hua Tan 2006 AALBORG UNIVERSITY

• Kĩ thuật Viễn thông
• Digital signal processing
• Digital signal
• Lecture Digital signal processing
• Discrete time signals
• Filter design
• IIR filter design
• 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
• 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
• 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
• FIR filter design
• Linear phase FIR filter
• Fourier transform
• Fast fourier transform
• Decimation in time FFT algorithms
• Loop bound
• DSP programs