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Computational Methods for Signal Processing

Real Time DSP Module: Fixed point representation of signals and introducing fixed point tool box in Matlab. Learning the impact of number representations in signal processing applications-IIR, FIR filter design in C- implementation of signal processing algorithms by applying quantization techniques and analyzing using Mat lab and DSP processor. Audio signal processing-echo cancellation, stream processing, block processing and vector processing of signals using DSP processor application to adaptive filtering, FFT, DCT, Wavelet using DSP processor.

Modern Signal Processing

Analysis of LTI system: Phase and Magnitude response of the system, Minimum phase, maximum phase, All- pass. Multirate Signal Processing: Interpolation, Decimation, sampling rate conversion, Filter bank design, Poly phase structures. Time-frequency representation; frequency scale and resolution; uncertainty principle, short- time Fourier transform. Multi-resolution concept and analysis, Wavelet transform (CWT, DWT). Optimum Linear Filters: Innovations Representation of a Stationary Random Process, Forward and Backward linear prediction, Solution of the Normal Equations.

Advanced Mathematics

Vectors: Representation and dot products, Norms, Matrices: The four fundamental spaces of a matrix, matrix as a linear operator, geometry associated with matrix operations, inverses and generalized inverses, matrix factorization/decompositions, rank of a matrix, matrix norms. Vector spaces: column and row spaces, null space, solving Ax=0 and Ax=b, independence, basis, dimension, linear transformations.

Orthogonality: Orthogonal vectors and subspaces, projection and least squares, Gram Schmidt orthogonalization.

Advanced Mathematics

Vectors: Representation and Dot products, Norms, Matrices: The Four Fundamental Spaces of a Matrix, The Matrix as a Linear Operator, The Geometry associated with matrix operations, Inverses and Generalized Inverses, Matrix factorization/Decompositions, rank of a matrix, Matrix Norms.

Electronic System Design

Module 1: Role of Interface Electronics, Analog Electronic Blocks, OPAMP – internal structure, Open- loop gain, Input R, Output R, DC noise sources and their drifts, CMRR, PSRR, Bandwidth and stability, Slew rate, Noise – general introduction, OPAMP Circuits and Analysis - Difference and Instrumentation Amplifiers (3-opamp and 2-opamp), Effect of cable capacitance and wire-resistance on CMRR, IA with guards, Biomedical application, Current-mode IA (Howland), Current-input IA, filters, Filters with underdamped response, state-variable filters, All- pass filters, Current Sources (floating and

Advanced Sensors and Interface Electronics

Introduction and Background of state-of-art sensing and measurement techniques. Contactless potentiometer (resistance-capacitance scheme) – Methodology, Interface Circuits, Overview of Flight Instrumentation. Analog Electronic Blocks, CMRR Analysis (Non-ideal opamps) of an Instrumentation Amplifier, Linearization circuits for single- element wheatstone bridges (application to strain gauge), Direct Digital Converter for Strain gauges, Signal conditioning for Remote-connected sensor elements.

High Speed IO Circuits

Introduction to high speed links. Review of PCB trace behavior at high frequencies. Concepts of cross-talk, dispersion, inter-symbol interference (ISI). Transceiver schemes. Design of transmitter, output impedance matching, multiplexing techniques, clocking, signaling techniques. Pre-distortion and equalization. Link budgets. Design of receivers – continuous time linear equalizers, slicers, DFE techniques, clocking, critical paths, IIR/FIR implementations. PLLs, clock and data recovery circuits and schemes.

 

Advanced VLSI Design

Power-speed-noise trade-off. Ultra-lower power VLSI design. Leakage power vs dynamic power. Minimum energy point concept. Low voltage analog, mixed-signal design. VLSI design for IoT applications. Low voltage memories.

Designing for high speed/performance. Dynamic voltage and frequency scaling. Selected topics on clock skew, clock routing, power routing. Selected topics on layout techniques in mixed-signal circuits – guard rings, etc. Role of calibration in modern ICs.

Modern Signal Processing

Analysis of LTI system: Phase and Magnitude response of the system, Minimum phase, maximum phase, Allpass. Multirate Signal Processing: Interpolation, Decimation, sampling rate conversion, Filter bank design, Polyphase structures. Time-frequency representation; frequency scale and resolution; uncertainty principle, short-time Fourier transform. Multi- resolution concept and analysis, Wavelet transform (CWT, DWT). Optimum Linear Filters: Innovations Representation of a Stationary Random Process, Forward and Backward linear prediction, Solution of the Normal Equations.

Photonic Integrated Circuits

Electronic integrated circuits, Scaling of electronic devices, Electrical interconnects, issues with electrical interconnection, Optical interconnects-advantages-similarities with electrical interconnects Integration-Photonic Integrated Circuits (PIC)-brief history of PIC-Features- Materials for PIC platform-Si, Silica, SOI, III-V, LiNbO3 Basic theory of Planar and channel waveguide-effective index method-guided modes Types of waveguides-Optical losses in waveguides-(side wall scattering, bending, losses due to metal layer)-waveguide fabrication (LiNbO3 and III-V based)

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