This page is under construction. For now, you can find all of the signals and systems videos at https://sites.google.com/a/asu.edu/signals-and-systems/Introduction to Signals and Systems- DT System Properties Example: y[n] = x[-n] Shows how to determine whether the system defined by the equation y[n] = x[-n] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.
- DT System Properties Example: y[n] = nx[n] Shows how to determine whether the system defined by the equation y[n] = nx[n] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.
- DT System Properties Example: y[n] = x[n] - x[n-1] Shows how to determine whether the system defined by the equation y[n] = x[n] - x[n-1] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.
- DT System Properties Example: y[n] = x[n]x[n+1] Shows how to determine whether the system defined by the equation y[n] = x[n]x[n+1] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.
Continuous-time ConvolutionDiscrete-time ConvolutionLaplace TransformFourier AnalysisFourier Series- Fourier Series Example-Square Wave Computing the complex exponential Fourier series coefficients for a square wave.
- Fourier Series Example-Arbitrary Square Wave Computes the Fourier series coefficients of a square wave with arbitrary period T, amplitude A, and duty cycle D.
- Fourier Series-Rectified Sine Wave Computes the Fourier series coefficients of a rectified sine wave; the computation is done entirely using Fourier series properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting.
Discrete-time Fourier Series- Introduction to DT Fourier Series Introduces the discrete-time Fourier Series (closely related to the DFT) and shows how to find the Fourier series coefficients of sampled cosine and sine waveforms.
- DT Fourier Series-Simple Example Computes the discrete-time Fourier series coefficients of a waveform with period N=8.
- DT Fourier Series-Periodic Square Wave Computes the discrete-time Fourier series coefficients of a square wave with period N and pulse width Np samples; the duty cycle is Np/N.
- DT Fourier Series-Rectified Sine Wave Computes the discrete-time Fourier series coefficients of a rectified sine wave; the computation is done entirely using DTFS properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting.
- DT Fourier Series-Periodic Triangle Wave Computes the discrete-time Fourier series coefficients of a triangle wave using the DTFS convolution property.
Fourier TransformDiscrete-time Fourier Transform |