TAILIEUCHUNG - Section 2: Digital Signal Processing

There are many contents in this document: Digital Signal Processing Research Program, dvanced Telecommunications and Signal Processing Program, Combined Source and Channel Coding for High Definition Televisio. | Section 2 Digital Signal Processing Chapter 1 Digital Signal Processing Research Program Chapter 2 Advanced Telecommunications and Signal Processing Program Chapter 3 Combined Source and Channel Coding for High-Definition Television 303 304 RLE Progress Report Number 139 Chapter 1. Digital Signal Processing Research Program Chapter 1. Digital Signal Processing Research Program Academic and Research staff Professor Alan V. Oppenheim Professor Arthur B. Baggeroer Professor Anantha p. Chandrakasan Professor Gregory w. Wornell Dr. Steven H. Isabelle Giovanni Aliberti Visiting Scientists and Research Affiliates Dr. Bernard Gold Dr. s. Hamid Nawab 1 Dr. James c. Preisig Dr. Ehud Weinstein2 Graduate Students Chalee Asavathiratham Richard J. Barron Soosan Beheshti John R. Buck Brian Chen Trym H. Eggen Christoforos N. Hadjicostis Warren M. Lam J. Nicholas Laneman Li Lee Haralabos c. Papadopoulos Jeffrey T. Ludwig James M. Ooi Wendi B. Rabiner Matthew J. Secor Alan Seefeldt Andrew c. Singer Shawn M. Verbout Kathleen E. Wage Alex Che-Wei Wang Technical and Support staff Darla J. Chupp Janice M. Zaganjori Introduction The field of digital signal processing grew out of the flexibility afforded by the use of digital computers in implementing signal processing algorithms and systems. It has since broadened into the use of a variety of both digital and analog technologies spanning a broad range of applications bandwidths and realizations. RLE s Digital Signal Processing Group carries out research on algorithms for signal processing and their applications. Current application areas of interest include signal enhancement and active noise cancellation speech audio and underwater acoustic signal processing advanced beamforming for radar and sonar systems and signal processing and coding for wireless and broadband multiuser communication networks. In some of our recent work we have developed new methods for signal enhancement and noise cancellation with single or multisensor .

• Kĩ thuật Viễn thông
• Digital Signal Processing
• Digital Signal Processing Research Program
• Avanced Telecommunications and Signal Processing Program
• Signal Processing Program
• Combined Source
• Xử lý tín hiệu số
• Lecture Digital signal processing
• Digital signal
• Signal processing
• DSP applications
• 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
• 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