Homework Help Signals and Systems

In summary, the conversation discusses a homework problem and the possibility of using TeX for posting solutions. The speaker expresses frustration with people using their phones to post pictures of their notes instead of typing out their answers.
  • #1
mod31489
7
0
View attachment problem1.pdf

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I was trying to solve out this problem for homework and I came to the answer of all of them being false because they all went to infinity...but I have a gut feeling that this is wrong.
 
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  • #2
mite help if you posted it in the homework section :)
it may get some responses

cheers
Dave
 
  • #3
this signal is neither power signal nor energy signal !
 
  • #4
and use TeX for goodness sake. what is this with all these new persons that just whip their iPhone out, snap a pic of their notes or of the white board and post that?

what should i do, write my answer on a piece of paper and put that up as a jpg in response?
 
  • #5


First of all, it is important to note that the concept of infinity can be quite tricky to understand and apply in mathematics. It is possible that your gut feeling is correct, and there may be a mistake in your solution. It is always a good idea to double check your work and make sure that your answer makes sense.

In the context of signals and systems, infinity usually refers to the concept of unboundedness. This means that a signal or system can grow or decrease without limit. It is important to consider the context in which infinity is being used in a problem.

For example, if you are dealing with a continuous-time signal, it is possible for the signal to approach infinity but never actually reach it. This is known as a limit and is commonly used in calculus. On the other hand, in a discrete-time system, a signal can actually reach infinity if the values keep increasing without bound.

Another important consideration is the behavior of the signal or system as time approaches infinity. In some cases, the signal may approach a finite value as time goes on, even if it initially appears to be going to infinity. This is known as convergence and is an important concept in the study of signals and systems.

In conclusion, while it is possible for signals and systems to exhibit behaviors that approach infinity, it is important to carefully consider the context in which infinity is being used and to double check your work to ensure that your solution is accurate. As a scientist, it is important to approach problems with a critical and analytical mindset to avoid making mistakes and to fully understand the concepts at hand.
 

What is the purpose of studying signals and systems?

The purpose of studying signals and systems is to understand the principles and techniques used to analyze and manipulate signals in various engineering fields. This knowledge is essential for designing and implementing systems that process and transmit information, such as communication systems, control systems, and digital signal processing.

What are the basic elements of a signal?

The basic elements of a signal are amplitude, frequency, and phase. Amplitude refers to the strength or magnitude of the signal, frequency is the number of cycles or oscillations per unit time, and phase is the relative position of a signal within a cycle.

What is the difference between continuous-time and discrete-time signals?

Continuous-time signals are defined and exist over a continuous range of time, whereas discrete-time signals are defined and exist only at discrete time instants. Continuous-time signals are represented by mathematical functions, while discrete-time signals are represented by sequences of numbers.

What is the purpose of signal transformation?

Signal transformation is used to analyze and manipulate signals in order to achieve specific objectives, such as filtering out unwanted noise, extracting useful information, and compressing data for efficient storage and transmission. It also allows us to convert signals between different domains, such as time domain and frequency domain.

What are the applications of signals and systems in everyday life?

Signals and systems have a wide range of applications in everyday life, including telecommunications (cell phones, WiFi, radio), audio and video processing (music, TV, movies), biomedical engineering (medical imaging, signal processing for medical diagnosis), and control systems (automotive systems, robotics, home automation). They also play a crucial role in modern technologies such as artificial intelligence, machine learning, and internet of things (IoT).

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