Is x[n] periodic? Fundamental period = 8 | Discrete-time signals

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In summary, in order to determine if x [n] is periodic, we need to check if x [n] = x [n + N_0], where N_0 is the fundamental period. By using some algebraic manipulations and looking at the remainders of n^2 mod 16, we can see that the potential values for N_0 are 8, and after testing it, we can conclude that the fundamental period for x [n] = cos(pi/8 * n^2) is 8.
  • #1
DivGradCurl
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Folks,

I think I got to the right answer for the wrong reason. Could you please verify my approach? Any help is highly appreciated.

Problem:

Is [tex] x [n] [/tex] periodic? If so, what is the fundamental period?


[tex] x [n] = \cos \left( \frac{\pi}{8} n^2 \right) [/tex]


Here is what I've got:

If [tex] x [n] = x [n + N_0][/tex], then it is periodic. Let's check:


[tex] \cos \left( \frac{\pi}{8} n^2 \right) = \cos \left[ \frac{\pi}{8} \left( n + N_0 \right) ^2 \right] [/tex]

[tex] \exp \left( j\frac{\pi}{8} n^2 \right) = \exp \left[ j\frac{\pi}{8} n^2 + j\frac{\pi}{8} 2n N_0 + j \frac{\pi}{8} N_0 ^2 \right] [/tex]

[tex] \exp \left( j \frac{\pi}{8} n^2 \right) = \exp \left( j\frac{\pi}{8} n^2 \right) \exp \left( j\frac{\pi}{8} 2n N_0 \right) \exp \left( j\frac{\pi}{8} N_0 ^2 \right) [/tex]

[tex] \exp \left[ j \frac{\pi}{8} \left( N_0 ^2 + 2nN_0 \right) \right] = 1[/tex]

[tex] \frac{\pi}{8} \left( N_0 ^2 + 2nN_0 \right) = 2\pi [/tex]

However [tex] N_0 [/tex] should be independent of [tex] n [/tex], and so [tex] 2nN_0 = 0 [/tex]. Then [tex]N_0 = 8 [/tex].
 
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  • #2
I assume you're restricting to integer values of n. It looks regular somehow but it doesn't appear periodic at first glance. The possible values of cos(pi/8 * n^2) depend on pi/8 * n^2 modulo 2pi. The potential modulos you could get are 0, pi/8, 2pi/8, ..., 15pi/8. If pi n^2 / 8 - 2 pi k = r pi/8 for 0 <= r <= 15, then you have
n^2 / 8 - 2 k = r/8
n^2 = 16 k - r
so looking at the remainders of n^2 mod 16 using Haskell
Code:
Prelude> [(mod (n^2) 16) | n <- [1..30]]
[1,4,9,0,9,4,1,0,1,4,9,0,9,4,1,0,1,4,9,0,9,4,1,0,1,4,9,0,9,4]
It does look like they form a repeating pattern of length 8, namely 1, 4, 9, 0, 9, 4, 1, 0. You want to show that n^2 is congruent to (n+8)^2 mod 16, and that shows it is periodic.
 

1. What is a discrete-time signal?

A discrete-time signal is a type of signal that is defined and exists only at discrete points in time. This means that the signal is only sampled and measured at specific time intervals, rather than continuously. It is commonly used in digital signal processing and is represented as a sequence of numbers.

2. How is a discrete-time signal different from a continuous-time signal?

A discrete-time signal is different from a continuous-time signal in that it is only defined at specific time intervals, while a continuous-time signal is defined and exists at all points in time. A discrete-time signal is also represented as a sequence of numbers, while a continuous-time signal is represented as a continuous function.

3. What types of systems use discrete-time signals?

Discrete-time signals are commonly used in digital systems, such as computers and digital signal processors, as well as in communication systems, control systems, and audio processing. They are also used in applications where data is collected and measured at discrete points in time, such as in scientific experiments.

4. How are discrete-time signals processed?

Discrete-time signals are processed using digital signal processing techniques, such as filtering, sampling, and quantization. These techniques involve manipulating the discrete-time signal in some way to extract or enhance specific information or features. Digital signal processing also allows for the manipulation and analysis of discrete-time signals in a more efficient and accurate manner compared to analog signal processing.

5. What are some common examples of discrete-time signals?

Some common examples of discrete-time signals include digital audio signals, digital images, and sampled data from sensors or instruments. In digital audio, the sound wave is sampled at discrete intervals to create a sequence of numbers that can be processed and reproduced by a digital audio system. In digital images, the image is represented as a grid of pixels, with each pixel having a discrete value. Sampled data from sensors or instruments is also a type of discrete-time signal, as the data is collected and measured at specific time intervals.

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