Bookmark and Share

Signals & Systems Courses

Optimizing C code for Performance on TMS320C6000 DSPs

Electromagnetics and Applications

It presents a great deal of information right from the basics of Electromagnetics such as Maxwells equations to its applications in new generation technologies such as wireless communications, computer peripherals to microwave communications, radar, and antennas.

Principles of Digital Communications

This course discuses about sampling theorem, AWGN channels, and focuses mainly on the coding techniques linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm. The advanced coding techniques also included which are trellis codes; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes and many more.

Digital Signal Processing

This course explores all about digital signals. Foussed mainly on Transforms such as DFS, DFT, FFT, Z-transform, various convolution techniques, realization and implementation of FIR and IIR filters and many more.

Structure and Interpretation of Systems and Signals

Topics Covered: Signals and Systems, Determinism, Composition, Linearity, Responses and Hybrid Systems. Frequency Domain, Response and Filtering etc....

Digital Image Processing

This course is all about images. Image compression, coding and restoration is the main area focused. The transforms DCT, DFT, Filter design and compression techniques JPEG also discussed in detail.

Digital Siganl Processing

Fundamentals of Signal Processing: Sampling and Frequency analysis, Digital Filtering, Statistical and Adaptive Signal Processing; Comprehensive Sensing; Wavelets and Filter Banks: Sampling rate Change Operations, Modulation and Polyphase Representations/ Orthogonal Wavelets Bases and Maxflat Filters, Multi-resolution Analysis (MRA)/Refinement Equation; Multimedia: Image Coding and JPEG, Video coding and Networking issues.

Digital Image Processing

Computer Control of Machines and Processes

Overview, Open-loop and Closed-loop Controls, Matlab Basics, Computer architecture, Input/Output, Discrete Process & Controller Modeling, Sequential Logic Control, Data Sampling, State Transition Diagrams, Laplace & Z-transforms, Discrete & steady state response, Final vale theorem, Stability, Root locus, Aliasing, System Design Example etc...

Vision Algorithms

Pages: 1


Good Resources