Discrete-Time Signal Operations in MATLAB Assignment Help

Discrete-Time Signal Operations in MATLAB deals with basic concepts in mathematics and Digital Signal Processing such as matrix and vector algebra, convolution, iterated operations, etc. Though these concepts are basic and lay the foundation for students in Digital Signal Processing, they can be complex at times. In this paper, we have briefly discussed the two signal operations affecting the time parameter of the signal. They are:
• Time shifting
• Time scaling
At first, these signal operations may appear to be simple extensions of the continuous-time signal operations. However, they have some complexities that are specific to discrete-time signals. If you run into hurdles while preparing your assignment, you can always avail of our discrete-time signal operations in MATLAB assignment help. We are available and at your service whenever you need a helping hand with your MATLAB assignments.

Time Parameter Manipulation

Manipulation of the time parameter in discrete-time signal operations consists of two signal operations as we had mentioned.
• Time Shifting
It refers to shifting the signal in time. Time shifting is usually done by subtracting or adding the shift’s integer quantity to the time variable in the function. The signal will be shifted to the right (delay) if a fixed positive quantity from the time variable is subtracted. Similarly, the signal will be shifted to the left (advance) if a fixed positive amount to the time variable is added.
• Time Scaling
This signal operation dilates or compresses a signal. To do this, the time variable is multiplied by some quantity. The operation will be called a decimation (a narrower signal) if the said quantity is greater that one. On the other hand, the operation will be called an expansion or interpolation (wider signal) if the quantity used is less than one.
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What is Time Reversal?

It is common for students who learn about time scaling to ask “what will happen if the time variable is multiplied by a negative number?” The correct answer to this question is time reversal. Just like the name suggests, time reversal is the reversal of the time axis. We can also see it as flipping the signal over the y-axis.

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Our discrete-time signal operations in MATLAB homework help caters to the following topics:

Consider taking our discrete-time signal operations in MATLAB homework help if you are struggling with but not limited to the following topics.

• Signal addition

The ‘+’ symbol is used to carry out addition and you will get the result from plotting. Define the two signals, then use the min & max functions to calculate the duration of the output signal. Next, use the duration found to initialize the signals. If you do not do this, a mismatch in the length of the input signals error will be returned. The functions used in signal addition include stem(), axis(), find(), zeros(), max(), and min().

• Signal Multiplication

Multiplication of signals is performed using the asterisk operator. Take our premium help with discrete-time signal operations in MATLAB homework for more details on this.

• Convolution

The relationship between output and input of an LTI system can be expressed using a mathematical operation called convolution. This operation can be used to find the zero state response of a system. Convolution of signals can be done in MATLAB. Contact us if you need assistance with how it is done.

• Sampling a signal

Sampling is the process of converting analog signals to digital signals. By evaluating the value of the continuous-time signal at points in time that are equally spaced, sampling can produce a discrete signal from a continuous-time signal. Our experts are also knowledgeable on this topic and can produce first-class solutions for your assignment. Get in touch with us now.

• Reconstruction of a signal from its samples

The process of signal reconstruction is popularly known as interpolation. It produces a continuous-time signal that would create a sample of the discrete-time signal at a specific sampling rate. To understand this process mathematically, you first have to generate a continuous-time impulse train.