Lu, Yukuan

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 8: Sampling: The Bridge From Continuous To Discrete. Signal Processing and Linear Systems (3rd ed., pp. 775-784). Oxford University Press.

In this article, we show that a real signal \(x(t)\) whose spectrum is bandlimited to \(B\) Hz, i.e., \(X(\omega)=0\) for \(|\omega|>2 \pi B)\), can be reconstructed exactly (without any error) from its samples taken uniformly at a rate \(f_s>2 B\) samples per second. In other words, the minimum sampling frequency is \[ f_s>2 B \] Hz.

NOTE: In some literature, \(f_s=2 B\) is be used, which is not correct.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 386-401). Oxford University Press.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 373-386). Oxford University Press.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 360-370). Oxford University Press.

The time-differentiation property of the Laplace transform has set the stage for solving linear differential (or integro-differential) equations with constant coefficients.

Because \(d^k y / d t^k \Longleftrightarrow\) \(s^k Y(s)\), the Laplace transform of a differential equation is an algebraic equation that can be readily solved for \(Y(s)\).

Next we take the inverse Laplace transform of \(Y(s)\) to find the desired solution \(y(t)\).

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 350-360). Oxford University Press.

For a quick reference table, see Wikipedia page on the Laplace transform.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 338-345). Oxford University Press.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 330-404). Oxford University Press.

Source:

1. Exploring Parallel Strategies with Jax
2. Training Deep Networks with Data Parallelism in Jax

Source: Trigonometric Identities

Sources:

1. B. P. Lathi & Roger Green. (2021). Chapter 2: Time-Domain Analysis of Continuous-Time Systems. Signal Processing and Linear Systems (2nd ed., pp. 163-167). Oxford University Press.