Advanced Digital Signal Processing Suggested Syllabus 1

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Advanced Digital Signal Processing Sy llabus Unit – I Digital Filtering: Reference: Practical Digital Signal Processing for Engineers and Technicians Finite impulse response filter design , Classification of digital filters, Filter design process, Characteristics of FIR filters, Window method, Frequency sampling method, Parks-McClelland method, Linear programming method, Infinite impulse response (IIR) filter design, Characteristics of IIR filters, Review of classical analog filter, IIR filters from analog filters, Direct design methods, FIR vs IIR, Digital filter realizations, Direct form, Cascade form, Parallel form, Other structures, Software implementation, Representation of numbers, Finite word- length effects. Unit–II Fast Fourier Transform and its Applications: Reference: Real Time Digital Signal Processing Discrete Fourier Transform, Circular convolution, Fast Fourier transform, Decimation in time, Decimation in frequency, Inverse Fast Fourier transform, Spectrum estimation and analysis, Spectral leakage and resolution, Power density spectrum, Fast Convolution, Spectrogram.

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Advanced Digital Signal Processing

Transcript of Advanced Digital Signal Processing Suggested Syllabus 1

Page 1: Advanced Digital Signal Processing Suggested Syllabus 1

Advanced Digital Signal Processing Sy llabus Unit – I Digital Filtering:

Reference: Practical Digital Signal Processing for Engineers and Technicians

Finite impulse response filter design , Classification of digital filters, Filter design process, Characteristics of FIR filters, Window method, Frequency sampling method, Parks-McClelland method, Linear programming method, Infinite impulse response (IIR) filter design, Characteristics of IIR filters, Review of classical analog filter, IIR filters from analog filters, Direct design methods, FIR vs IIR, Digital filter realizations, Direct form, Cascade form, Parallel form, Other structures, Software implementation, Representation of numbers, Finite word-length effects.

Unit–II Fast Fourier Transform and its Applications:

Reference: Real Time Digital Signal Processing

Discrete Fourier Transform, Circular convolution, Fast Fourier transform, Decimation in time, Decimation in frequency, Inverse Fast Fourier transform, Spectrum estimation and analysis, Spectral leakage and resolution, Power density spectrum, Fast Convolution, Spectrogram.

Unit – III Smart Antenna Systems:

Reference: Signal Processing in Digital Communications

Introduction, Smart Antennas and Beamforming Structures, Switched Beamforming, Delay-and-Sum Beamforming, Space-Time Beamforming, Interpolation Beamforming, Beamforming Algorithms, MMSE Beamformer, Maximum SNR of the Beamformer, Minimum Variance Beamformer.

Unit–IV Multicarrier Modulation, DMT, and OFDM

Reference: Signal Processing in Digital Communications

Introduction, Fundamentals of Discrete Multitone Modulation, Multitone Transmission, Geometric SNR, Optimum of Energy Minimum and Bit Loading Maximum, FFT-Based OFDM, OFDM System, OFDM Modulation by IFFT,

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OFDM Demodulation by FFT, ADC Resolution for the OFDM Modulation, Equalized OFDM, Filter Bank–Based OFDM, Filter Bank Transmultiplexer, The DFT Filter Bank, Polyphase-Based DFT Filter Bank, Maximally Decimated DFT Transmitter Filter Bank, Perfect Reconstruction of the DFT Filter Bank.

Unit–V Discrete-Time Synchronization

Reference: Signal Processing in Digital Communications

Introduction, Discrete-Time Phase Locked Loop, Discrete-Time Loop Filter, Phase Detector, Discrete-Time VCO, Timing Recovery, Early-Late Gate Synchronizer, Bandedge Timing Recovery, Decision-Directed Timing, Recovery,Multirate Timing Recovery, Polyphase Filter Bank Timing Recovery, Multicarrier Modulation Timing Recovery, Carrier Recovery, Carrier Phase Error, Open-Loop Carrier Recovery, Carrier Recovery for Multiple Phase Signals,Decision-Directed Carrier Recovery.

Unit–VI Channel Estimation and Blind Identification

Reference: Signal Processing in Digital Communications

Introduction, Discrete-Time Channel Models, Channel Estimators, Maximum Likelihood Estimator, Least Squares Estimator, Generalized Least Squares Estimator, MMSE Estimator Adaptive Channel Estimation and Algorithms, The LMS Algorithms, The LMS Algorithm Convergence, The LMS EMSE Analysis and Misadjustment, The RLS Algorithms, The RLS Algorithm Convergence, The RLS EMSE Analysis and Misadjustment, Comparison of the Adaptive Algorithms, Channel Models and HOS Estimations, SISO Channel Model and Estimation, SIMO Channel Model and Estimation, MIMO Channel Model and Estimation, Blind Channel Identification, Blind Identification for SISO Channel, Subspace Blind Identification for SIMO Channel, Blind Identification for MIMO Channel.

Unit–VII Adaptive Equalizers in Communication Receivers

Reference: Signal Processing in Digital Communications

Introduction, Linear Equalizer, Channel Equalizer, Mean-Square-Error Criterion, Adaptive Linear Equalizer, Adaptive Algorithms for an Equalizer, Training Methodology, Tap Length of Equalizer Coefficients, Fractionally Spaced Equalizer, Multirate Communication System Model Multichannel Model-Based

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Equalizer, FSE-MMSE Function, FSE Constant Modulus Algorithm, FSE-CM Noisy Cost Function, FSE-CM Performances, Decision Feedback Equalizer, MMSE for DFE, Predictive DFE, FSE-DFE, Error Propagation, Space-Time Equalizer, Time-Only Equalizer, Space-Only Equalizer, Space-Time MMSE Equalizer, Diversity Equalizer, Fundamentals of a Rake Receiver, Adaptive Rake Receiver, Equalized Rake Receiver.