Electrical and Electronic Engineering

Open Courseware and Resources

- Electrical and Electronic Engineering: an engineering field that deals with the study and application of electricity, electronics and electromagnetism.
(Wikipedia)

Understanding Lasers and Fiberoptics

fundamentals, emphasizes a physical intuitive interpretation of laser and fiberoptic phenomena and their applications, graphic illustrations, video demonstrations to explain basic characteristics
 

Memory Circuit Design

Transistor level design of memory circuits, Memory technologies including DRAM Flash MRAM Glass-based and SRAM, practical introduction to design of memory circuits

Speech and Audio Processing

Introduction to Speech Processing, Speech Analysis, Linear Predictive Coding(LPC), Speech Coding, Time-Frequency Analysis, Auditory Masking & Widebank Audio Coding
 

Signals and Systems

measuring, manipulating or analysing information, Signals of interest include biomedical data, audio, still or moving images, radar and even DNA, Filtering techniques can be crucial in revealing and interpreting information present in a signal, design and implement filters for a range of signals
 

Signals and Systems

signals, systems, and transforms, from their theoretical mathematical foundations to practical implementation in circuits and computer algorithms, mathematics and practical issues of signals in continuous and discrete time, linear time invariant systems, convolution, and Fourier transforms

Introduction to Digital Filters

The Simplest Lowpass Filter, Matlab Filter Analysis, Analysis of Digital Comb Filter, Linearity and Time-Invariance, Time Domain Filter Representations, Transfer Function Analysis, Frequency Response Analysis, Pole-Zero Analysis, Implementation Structures, Filters Preserving Phase, Minimum-Phase Filters

Principles of Digital Communications (I)

theory and practice behind many of today's communications systems, digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.
 

Principles of Digital Communication (II)

coding techniques for approaching the Shannon limit of additive white Gaussian noise channels, performance analysis, design principles, small signal constellations, coding gain, hard-decision & soft-decision decoding, binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon & BCH codes, binary linear convolutional codes, Viterbi algorithm, trellis representations of binary linear block codes & decoding, LDPC & RA codes, coding for bandwidth-limited regime, lattice codes, trellis-coded modulation, multilevel coding & shaping
 

Introduction to Electronics, Signals, and Measurement

focus on measurement and signals, practical knowledge necessary to work in a modern science or engineering setting: labs

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