I started using MATLAB in 1985. Top of the line PCs had no hard drive, only 2e-3 GHz CPU, and 5e-4 GB RAM. Look how far we have come since then. Eventually I joined MathWorks. As an application engineer I met thousands of MATLAB users and helped them solve problems. As a quality engineer within the development organization I helped make MATLAB itself even better. Over the years I have used MATLAB to solve a wide range of technical computing problems. I enjoy exploring new problem spaces for myself and helping others learn to use MATLAB.
Professional Interests: data analysis, visualization & algorithm development, signal & image processing, all sorts of scientific/engineering computational problem solving
Hristo Zhivomirov was born in Varna, Bulgaria, in 1987. He received his B.Sc. and M.Sc. degrees in Communication Equipment and Technologies from Technical University of Varna in 2010 and 2012, respectively. In 2016 he received a Ph.D. degree in Theory of Communication. Mr. Zhivomirov is currently an Assoc. Professor in Department of Theory of Electrical Engineering and Measurements in Technical University of Varna. Mr. Zhivomirov is a member of IEEE, Federation of Scientific-Technical Unions in Bulgaria and Union of Scientists in Bulgaria. His research interests include the field of signal processing, electrical and electronics measurements and Matlab programming (Signal Processing, Data Acquisition, Data Visualization, etc.).
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Krishna Pillai is a Signal Processing Engineer based out of Bangalore, India. His typical activities on a working day involve identifying and modeling digital signal processing algorithms for wireless receivers.
He blogs @
The objective of the blog is to:
"Explain and discuss the basic text book concepts in digital signal processing and digital communication using simple Matlab/Octave scripts."
Professional Interests: DSP, wireless communication
The field of Signal Processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extracting useful knowledge from them. The theory and applications of signal processing is concerned with the identification, modeling and utilization of patterns and structures in a signal process.
EEE 533: Wavelets and Applications (3 credits, 3 hours/week)
Introduction and Background: Why wavelets, subband coding and multiresolution analysis? Mathematical background, Hilbert spaces, Unitary operators, Review of Fourier theory, Continuous and discrete time signal processing; Time-frequency analysis, Multirate signal processing, Projections and approximations; Discrete-Time Bases and Filter Banks, Elementary filter banks, Analysis and design of filter banks, Spectral Factorization, Daubechies filters; Orthogonal and biorthogonal filter banks, Tree structured filter banks, Discrete wavelet transform, Multidimensional filter banks; Continuous-Time Bases and Wavelets; Iterated filter banks, The Haar and Sinc cases, The limit of iterated filter banks; Wavelets from Filters, Construction of compactly supported wavelet bases, Regularity, Approximation properties, Localization; The idea of multiresolution, Multiresolution analysis, Haar as a basis for L2(R), The continuous wavelet and short-time Fourier transform; Applications, Fundamentals of compression, Analysis and design of transform coding systems, Image Compression, the new compression standard (JPEG200) and the old standard, Why is the wavelet transform better than the discrete cosine transform? Video compression and the 3-D wavelet transform. Advanced topics: Beyond JPEG2000, non-linear approximation and compression.
Bangalore-based Ittiam Systems Pvt. Ltd., which started as a maker of digital signal processors in Bangalore, decided four years ago to get into licensing intellectual property for chips. It now designs applications that run on digital signal processors, such as streaming video, digital still photography, and so on.
Digital Signal Processors: DSP Architecture, DSP Hardware Units, Fixed point format, Floating point Format, IEEE Floating point formats, Fixed point digital signal processors, Floating point processors, FIR.and IIR filter implementations in Fixed point systems.
Typical knowledgebase for optimal design and operation of mechatronic systems comprises of: Dynamic system modelling and analysis. Thermo-fluid, tructural, hydraulic, electrical, chemical, biological, etc. Decision and control theory, Sensors and signal conditioning, Actuators and power electronics, Data acquisition. A2D, D2A, digital I/O, counters, timers, etc. Hardware interfacing, Rapid control prototyping, Embedded computing.Balance theory, simulation, hardware, and software. be457b7860
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