28-01-2013, 12:17
Dejo esta para todos aquellos a los que les interese, ahora estoy haciendo un curso de Diseño Digital de Sonido y esta buenísima la forma en que los dictan.
Hay un par de temas que se ven en Analisis de señales y sistemas, otros que calculo se veran en Procesamiento digital de señales..
Ademas viene bien para mejorar el ingles, o para mantenerlo en forma (aunque por lo que veo este curso lo dan 2 personas, y uno es un frances que tiene un acento de mier..).
Arranca el 18 de Febrero, y debe ser cargadito.
La onda es que hay que ver una serie de clases en video, hay foros de discusión, hay que hacer como unas tareas, hay 2 parciales y al final te entregan una especie de certificado.
Si alguno se llega a anotar avise y lo vamos comentando en este thread.
Saludos!
Hay un par de temas que se ven en Analisis de señales y sistemas, otros que calculo se veran en Procesamiento digital de señales..
Ademas viene bien para mejorar el ingles, o para mantenerlo en forma (aunque por lo que veo este curso lo dan 2 personas, y uno es un frances que tiene un acento de mier..).
Arranca el 18 de Febrero, y debe ser cargadito.
Digital Signal Processing
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.
Next Session:
Feb 18th 2013 (8 weeks long)
Workload: 8-10 hours/week
About the Course
The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.
In the class, starting from the basic definitions of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
Course Syllabus
Broad outline of the topics covered in the class:
1. Basic discrete-time signals and systems, signal classes and operations on discrete-time signals, signals as vectors in Hilbert space
2. Fourier analysis: DFT, DFS and DTFT
3. Discrete-time systems: FIR and IIR filters, convolution and modulation theorems, difference equations, stability issues
4. Z-transform
5. Filter design, filter structures
6. Stochastic Signal Processing
7. The continuous-time model, interpolation and sampling, aliasing
8. Multi-rate signal processing
9. Quantization
10. Multi-dimensional signals and processing, introduction to image processing.
https://www.coursera.org/course/dsp
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.
Next Session:
Feb 18th 2013 (8 weeks long)
Workload: 8-10 hours/week
About the Course
The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.
In the class, starting from the basic definitions of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
Course Syllabus
Broad outline of the topics covered in the class:
1. Basic discrete-time signals and systems, signal classes and operations on discrete-time signals, signals as vectors in Hilbert space
2. Fourier analysis: DFT, DFS and DTFT
3. Discrete-time systems: FIR and IIR filters, convolution and modulation theorems, difference equations, stability issues
4. Z-transform
5. Filter design, filter structures
6. Stochastic Signal Processing
7. The continuous-time model, interpolation and sampling, aliasing
8. Multi-rate signal processing
9. Quantization
10. Multi-dimensional signals and processing, introduction to image processing.
https://www.coursera.org/course/dsp
La onda es que hay que ver una serie de clases en video, hay foros de discusión, hay que hacer como unas tareas, hay 2 parciales y al final te entregan una especie de certificado.
Si alguno se llega a anotar avise y lo vamos comentando en este thread.
Saludos!