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This example is illustrated in Example 2(a). It will give output as 4 * 3, which is 12, so twelve zeros will be added in input. In example 2(a), instead of direct values, one function is passed through the zeros command, which is the N * length of the input signal. Therefore we have assigned one variable, āNā, which represents the length of the signal. Mostly this zero padding concept is used to maintain the length of the signal in Fourier transform. after initializing the input signal, we have applied the zeros function on a signal with parameters (1,4) just like the previous example, it will simply add four zeros at the end of the input signal. The input signal is represented by signal 1, and the output signal is represented by signal 2.input signal is a one-dimensional array of four elements. In this example, two variables are used to represent input signal and output signal. Initially, there are three data points in the first signal, and after zero paddings, there will be a total of eight data points present the output signal, which is illustrated in example 1 (b). However, the function is (1,5), (1,5) represents one row and five columns that means five zeros will be added at the end of the signal. Still, parameters are different from the previous example. Similarly, in Example 1(b), the same signal is used as an input signal, and the zeros command is applied to the signal. Here (1,3) represents one row and three columns that means three zeros will be added at the end of the input signal, which is illustrated in example 1(a). after initializing the input signal, a zeros command is applied to the input signal with parameters (1,3). An input signal is represented by signal 1, an output signal is represented by signal 2.input signal is a one-dimensional array of three elements. Let us consider one simple example in this example, two variables are used to represent input signal and output signal. Here are the following examples mention below Example #1 In the figure, black color indicates original input points, and red color indicates new zero-padded point. And in second signal frequency response is from zero to eighty points, which is almost double of an input signal. In first signal frequency response is from zero to forty only. In figure 1, there are two signals first signal is the original input signal, and the second signal is a zero-padded signal. It will only increase the frequency resolution of the signal in Fourier transform. But we are adding zeros in a signal that means ideally, we are not adding any extra information therefore, the characteristics and response of the signal will remain constant. When we add extra information to any signal, then the characteristics and response of the signal may changes. Zero padding means adding zeros at the end of the input signal. Output signal name = How to perform zero paddings in Matlab? Hadoop, Data Science, Statistics & others