Lecture Signal processing: Introduction - Nguyễn Công Phương

Lecture Signal processing introduction the signals, systems, analog, digital, and mixed signals processing, applications of digital signal processing. Inviting you refer.

Nguyễn Công Phương SIGNAL PROCESSING Contents I Introduction II Discrete – Time Signals and Systems III The z – Transform IV Fourier Representation of Signals V Transform Analysis of LTI Systems VI Sampling of Continuous – Time Signals VII.The Discrete Fourier Transform VIII.Structures for Discrete – Time Systems IX Design of FIR Filters X Design of IIR Filters XI Random Signal Processing sites.google.com/site/ncpdhbkhn References [1] D Manolakis and V Ingle Applied Digital Signal Processing Cambride, 2011 [2] J G Proakis and D G Manolakis Digital Signal Processing – Principles, Algorithms, and Applications Prentice – Hall, 1996 [3] R N Bracewell The Fourier Transform and its Applications McGraw-Hill, 2000 [4] V K Madisetti, D B Williams Digital Signal Processing Handbook CRC Press, 1999 [5] A V Oppenheim, A S Willsky, and S H Nawab Signals and Systems Prentice Hall, 1997 [6] S Stergiopoulos Advanced Signal Processing Handbook CRC Press, 2001 [7] sites.google.com/site/ncpdhbkhn sites.google.com/site/ncpdhbkhn Introduction To record, create, manipulate, transform, and transmit signals sites.google.com/site/ncpdhbkhn Introduction Signals Systems Analog, Digital, and Mixed Signals Processing Applications of Digital Signal Processing sites.google.com/site/ncpdhbkhn Signals (1) • Signal: a physical quantity varying as a function (of time, space, etc.) and carrying information Index L R i + C v e – +– Current as a function of time M T W T F S Closing value of the stock exchange index as a function of days sites.google.com/site/ncpdhbkhn Image as a function of x–y coordinates Signals (2) Index i (A) t (s) M T W T F S s(t) s[n] Continuous – time signal Discrete – time signal Value of s(t) is defined for every value of time t Value of s(t) is defined only at discrete time sites.google.com/site/ncpdhbkhn Signals (3) i (A) i (A) T t (s) s(t) n s[n] = s(t ) t =nT = s(nT ) T : sampling period f s = : sampling frequency T sites.google.com/site/ncpdhbkhn Signals (4) Deterministic signal The future value is predictable Random signal The future value is unpredicatble sites.google.com/site/ncpdhbkhn Introduction Signals Systems Analog, Digital, and Mixed Signals Processing Applications of Digital Signal Processing sites.google.com/site/ncpdhbkhn 10 Systems x (t ) Continuous – Time System Analog-to-Digital Conversion (ADC) x[n ] Digital-to-Analog Conversion (DAC) Discrete – Time System sites.google.com/site/ncpdhbkhn y (t ) y[ n ] 11 Analog, Digital, and Mixed Signals Processing Analog input Sensor Analog Pre-processing ADC DSP DAC Analog Post-processing sites.google.com/site/ncpdhbkhn Analog output 12 Applications of Digital Signal Processing • • • • • • • Key operations Audio processing Speech processing Image & video processing Telecommunications Computer systems Military sites.google.com/site/ncpdhbkhn 13 ... sites.google.com/site/ncpdhbkhn Introduction Signals Systems Analog, Digital, and Mixed Signals Processing Applications of Digital Signal Processing sites.google.com/site/ncpdhbkhn Signals (1) • Signal: a physical... predictable Random signal The future value is unpredicatble sites.google.com/site/ncpdhbkhn Introduction Signals Systems Analog, Digital, and Mixed Signals Processing Applications of Digital Signal Processing... System Analog-to-Digital Conversion (ADC) x[n ] Digital-to-Analog Conversion (DAC) Discrete – Time System sites.google.com/site/ncpdhbkhn y (t ) y[ n ] 11 Analog, Digital, and Mixed Signals Processing