陆昱宽

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 7: Continuous-Time Analysis: The Fourier Transform. Signal Processing and Linear Systems (3rd ed., pp. 736-749). Oxford University Press.

Modulation causes a spectral shift in a signal, enhacing long distance transmission. Broadly speaking, there are two classes of modulation: amplitude (linear) modulation and angle (nonlinear) modulation.

In this section, we shall discuss some practical forms of amplitude modulation, including:

1. Double-Sideband, Suppressed-Carrier (DSB-SC) modulation. It is simple and is great for illustrate the idea of amplitude modulation.
2. Amplitude Modulation (AM). It's more efficient than DSB-SC, whereas one more condition must be satisfied. Techinically speaking, all 3 methods in this article belong to amplitude modulation. But it is this specific method which people call amplitude modulation (AM).
3. Single-Sideband, Suppressed-Carrier (DSB-SC) modulation. It is a simpler form of (DSB-SC) modulation where only one sideband is transmitted.

The term Suppressed-Carrier (SC) comes from the fact that, both DSB and SSB signals only contain the modulated signal, excluding the carrrier signal, maing the carrier being "suppressed".

【五代】 鹿虔扆

金锁重门荒苑静，绮窗愁对秋空。翠华一去寂无踪。玉楼歌吹，声断已随风。

烟月不知人事改，夜阑还照深宫。藕花相向野塘中，暗伤亡国，清露泣香红。

Source:

1. Papers:
   1. RSSM
   2. DreamerV1
   3. DreamerV2
   4. DreamerV3
2. Blogs:
   1. EclecticSheep: Dreamer V1
   2. EclecticSheep: Dreamer V2
   3. EclecticSheep: Dreamer V3
   4. EclecticSheep: a2c algorithm

【北宋】秦观

天涯旧恨，独自凄凉人不问。欲见回肠，断尽金炉小篆香。

黛蛾长敛，任是东风吹不展。困倚危楼，过尽飞鸿字字愁。

秦观

水边沙外。城郭春寒退。花影乱，莺声碎。飘零疏酒盏，离别宽衣带。人不见，碧云暮合空相对。

忆昔西池会。鹓鹭同飞盖。携手处，今谁在。日边清梦断，镜里朱颜改。春去也，飞红万点愁如海。

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 455-466). Oxford University Press.
2. B. P. Lathi & Roger Green. (2021). Chapter 7: Filter Design by Placement of Poles and Zeros. Signal Processing and Linear Systems (2nd ed., pp. 666-700). Oxford University Press.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 445-455). Oxford University Press.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 436-445). Oxford University Press.

In this section we explore the strong dependence of frequency response on the location of poles and zeros of \(H(s)\). This dependence points to a simple intuitive procedure to filter design.

Sources:

1. B. P. Lathi & Roger Green. (2018). Chapter 4: The Laplace Transform. Signal Processing and Linear Systems (3rd ed., pp. 412-419). Oxford University Press.

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.