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Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics.

Digital Signal Processing MIT

• Технология

Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics.

• video
Demonstration 1: Sampling, aliasing, and frequency response, part 1

Demonstration 1: Sampling, aliasing, and frequency response, part 1

This lecture includes demonstrations of sampling and aliasing with a sinusoidal signal, sinusoidal response of digital filters, dependence of frequency response on sampling period, and the periodic nature of the frequency response of a digital filter.

• 28 мин.
• video
Demonstration 2: Sampling, aliasing, and frequency response, part 2

Demonstration 2: Sampling, aliasing, and frequency response, part 2

This lecture includes more demonstrations of sampling and aliasing with a sinusoidal signal, sinusoidal response of digital filters, dependence of frequency response on sampling period, and the periodic nature of the frequency response of a digital filter.

• 12 мин.
• video
Lecture 1: Introduction

Lecture 1: Introduction

This lecture provides an overview of the course and discusses some of the applications of digital signal processing.

• 17 мин.
• video
Lecture 2: Discrete-time signals and systems, part 1

Lecture 2: Discrete-time signals and systems, part 1

This lecture gives definitions of the unit sample, unit step, and exponential and sinusoidal sequences. It also gives definitions and representations of linear time-invariant discrete-time systems, and discusses properties of discrete-time convolution.

• 36 мин.
• video
Lecture 3: Discrete-time signals and systems, part 2

Lecture 3: Discrete-time signals and systems, part 2

This lecture covers stability and causality for discrete-time systems, systems described by linear constant-coefficient difference equations, and the frequency response of linear time-invariant systems.

• 43 мин.
• video
Lecture 4: The discrete-time Fourier transform

Lecture 4: The discrete-time Fourier transform

This lecture covers generalization of the frequency response representation of sequences and the inverse Fourier transform relation. It also covers the properties of and the relationship between continuous-time and discrete-time Fourier transforms.

• 44 мин.

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Оценок: 4

Оценок: 4