This module introduces the idea of aliasing and gives examples of it in sampling and reconstruction problems.
Applet demonstrating the concept of aliasing
Este modulo introduce la de idea de aliasing (algunos autores lo traducen como solapamiento) y da ejemplos de problemas de muestreo y reconstrucción.
Basic analog-to-digital (A/D) conversion and digital filtering of analog signals.
This module discusses Anti-Aliasing and provides examples of filters that can be used to avoid aliasing.
Este módulo deriva la series de Fourier en tiempo discreto (DTFS), las cuales son un tipo de expansión de fourier para funciones periodicas y discretas en el tiempo. El módulo también da un repaso a las senosoidales complejas las cuales sirven como bases.
Introduction to decimation.
Este modulo discute sobre Anti-Aliasing y da ejemplos de filtros que pueden ser usados para evitar el aliasing.
This module derives the Discrete-Time Fourier Series (DTFS), which is a fourier series type expansion for discrete-time, periodic functions. The module also takes some time to review complex sinusoids which will be used as our basis.
Illustration of the sampling theorem.
This course gives the student a broad introduction to basics in signal processing and information theory.
This module contains 55 online signal processing simulations created in National Instruments LabVIEW. These simulations provide examples to textbook signal processing concepts. These simulations include aliasing, convolution, effects of windowing in the
This lab investigates the effect of aliasing.
You will work through an example problem that explores the effects of sample-rate compression and expansion on the spectrum of a signal.
Introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. Significant laboratory-based design experiences form subject's core. Final project. Topics include: low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.
You will work through an example problem that explores the effects of sample-rate compression and expansion on the spectrum of a signal.
You will work through an example problem that explores the effects of sample-rate compression and expansion on the spectrum of a signal.
You will work through an example problem that explores the effects of sample-rate compression and expansion on the spectrum of a signal.
この演習課題を通じて、ダウンサンプルおよびアップサンプルという操作が信号のスペクトルにどのような影響を与えるかを調査・理解することができます。
" The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451 Principles of Digital Communication II, is offered in the spring. Topics covered include: 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."
