BM2305 DIGITAL SIGNAL PROCESSING L T P C
3 1 0 4
AIM
To study the signal processing methods and processors
OBJECTIVES:
• To study the design techniques of IIR and FIR filters
• To study the structure realization method for IIR and FIR filters
• To study the finite word length effects in signal processing
• To study power spectrum estimation
• To study multirate signal processing
UNIT I FINITE IMPULSE RESPONSE (FIR) FILTER 9
Introduction to FIR filter - phase delay and group delay – linear phase transfer function. Design of FIR filter using Fourier method, Rectangular window, Hanning window, Hamming window, Kaiser window. Design using frequency sampling technique. Structure realization of FIR system – direct form, cascade form, linear phase FIR system.
UNIT II INFINITE IMPULSE RESPONSE (IIR) FILTER 9
Introduction to IIR filter - Impulse-invariant transformation technique – Bilinear transformation technique – frequency transformation in digital domain - design of Butterworth filter and Chebyshev filter (type-1) (restricted to 3rd order). Structure realization of IIR system – lattice structure and lattice-ladder structure.
UNIT III FINITE WORD LENGTH EFFECT IN FIR AND IIR FILTER 8
Quantization of fixed-point and floating-point numbers – product quantization – variance estimation of quantization error – finite word length effect on IIR filter – Product quantization error in IIR filter – mathematical analysis of steady state output noise – dynamic scaling to prevent overflow – limit-cycle oscillation in recursive system – rounding-off error in DFT and FFT computation.
UNIT IV BASICS OF RANDOM SIGNAL PROCESSING 10
(ONLY QUALITATIVE ANALYSIS)
Introduction to probability function, joint probability, conditional probability – estimation parameters – joint distribution function, probability density function, ensemble average – mean squared value, variance, standard deviation, moments, correlation, covariance, orthogonality, auto-covariance, auto-correlation, cross-covariance and cross-correlation – stationarity – ergodic – white noise – energy density spectrum – power density spectrum estimation – periodogram – direct method, indirect method, Barlett method – Welch method. Decimator (down sampling) – frequency-domain analysis of decimator – interpolation (up sampling) – frequency-domain analysis of interpolator
UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS 9
Programmable DSP – multiplier accumulator – over-flow and under-flow in MAC unit – Van-Neumann architecture – Harvard architecture – cache memory – pipelining – computer configuration – RISC – CISC – addressing modes – replication – TMS320 processor – first to fifth generation (only block diagram approach) – architecture and features.
L: 45, T: 15, TOTAL: 60 PERIODS
TEXT BOOKS:
1. E. C. Ifeachor and B.W. Jervis, “Digital Signal processing – A Practical Approach”, Pearson education, New Delhi, 4th Edition, 2004.
2. John G. Proakis and Dimitris G. Manolakis, “Digital Signal Processing, Algorithms and Applications”, Pearson education, New Delhi, 4th Edition, 2007.
REFERENCES:
1. Sanjit K. Mitra, “Digital Signal Processing – A computer Based Approach”,TMH, New Delhi, 1998
2. Andreas Antoniou, Digital filter Analysis and Design”, Prentice Hall India
3. R. Rabiner and B. Gold, “Theory and Application of Digital Signal processing”, PHI
3 1 0 4
AIM
To study the signal processing methods and processors
OBJECTIVES:
• To study the design techniques of IIR and FIR filters
• To study the structure realization method for IIR and FIR filters
• To study the finite word length effects in signal processing
• To study power spectrum estimation
• To study multirate signal processing
UNIT I FINITE IMPULSE RESPONSE (FIR) FILTER 9
Introduction to FIR filter - phase delay and group delay – linear phase transfer function. Design of FIR filter using Fourier method, Rectangular window, Hanning window, Hamming window, Kaiser window. Design using frequency sampling technique. Structure realization of FIR system – direct form, cascade form, linear phase FIR system.
UNIT II INFINITE IMPULSE RESPONSE (IIR) FILTER 9
Introduction to IIR filter - Impulse-invariant transformation technique – Bilinear transformation technique – frequency transformation in digital domain - design of Butterworth filter and Chebyshev filter (type-1) (restricted to 3rd order). Structure realization of IIR system – lattice structure and lattice-ladder structure.
UNIT III FINITE WORD LENGTH EFFECT IN FIR AND IIR FILTER 8
Quantization of fixed-point and floating-point numbers – product quantization – variance estimation of quantization error – finite word length effect on IIR filter – Product quantization error in IIR filter – mathematical analysis of steady state output noise – dynamic scaling to prevent overflow – limit-cycle oscillation in recursive system – rounding-off error in DFT and FFT computation.
UNIT IV BASICS OF RANDOM SIGNAL PROCESSING 10
(ONLY QUALITATIVE ANALYSIS)
Introduction to probability function, joint probability, conditional probability – estimation parameters – joint distribution function, probability density function, ensemble average – mean squared value, variance, standard deviation, moments, correlation, covariance, orthogonality, auto-covariance, auto-correlation, cross-covariance and cross-correlation – stationarity – ergodic – white noise – energy density spectrum – power density spectrum estimation – periodogram – direct method, indirect method, Barlett method – Welch method. Decimator (down sampling) – frequency-domain analysis of decimator – interpolation (up sampling) – frequency-domain analysis of interpolator
UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS 9
Programmable DSP – multiplier accumulator – over-flow and under-flow in MAC unit – Van-Neumann architecture – Harvard architecture – cache memory – pipelining – computer configuration – RISC – CISC – addressing modes – replication – TMS320 processor – first to fifth generation (only block diagram approach) – architecture and features.
L: 45, T: 15, TOTAL: 60 PERIODS
TEXT BOOKS:
1. E. C. Ifeachor and B.W. Jervis, “Digital Signal processing – A Practical Approach”, Pearson education, New Delhi, 4th Edition, 2004.
2. John G. Proakis and Dimitris G. Manolakis, “Digital Signal Processing, Algorithms and Applications”, Pearson education, New Delhi, 4th Edition, 2007.
REFERENCES:
1. Sanjit K. Mitra, “Digital Signal Processing – A computer Based Approach”,TMH, New Delhi, 1998
2. Andreas Antoniou, Digital filter Analysis and Design”, Prentice Hall India
3. R. Rabiner and B. Gold, “Theory and Application of Digital Signal processing”, PHI
No comments:
Post a Comment