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Data Analysis Articles
Page 10 of 18
Create a Slider Component in MATLAB
MATLAB is a high-level programming language that allows us to create GUI applications without need of proper programming knowledge. In a MATLAB application, we can create various kinds of GUI (Graphical User Interface) components such as buttons, slider, text and number fields, hyperlinks, and many more. This tutorial is meant for explaining the process of creating a slider component in a MATLAB application. A slider component in MATLAB application is a GUI component that allows users to chose a specific value from a range just by dragging a slider/wiper control along the range track. In MATLAB, we can create a slider ...
Read MoreCosine Similarity Calculation Between Two Matrices in MATLAB
In this tutorial, we will learn how to calculate cosine similarity between two matrices using MATLAB. So, let’s start with the basic definition of cosine similarity. What is Cosine Similarity? Cosine similarity is a standard of measurement in matrix algebra used to determine the measure of similarity between two non-zero matrices in an inner product space like Euclidean space. Cosine similarity measures the cosine of the angle between the two matrices and produces a value between -1 and 1. Here, the value 1 indicates that the two matrices are perfectly similar, and the value -1 indicates that the two matrices ...
Read MoreBit and Byte Organized Memory
In the field of computer, the terms “Bit”, “Byte”, and “Memory” are very commonly used. Memory is defined as a property of a device responsible for storing information. Bit and Bytes are two fundamental measurement units of memory capacity. A bit is used to represent a binary digit, either a 0 or a 1. While the term byte is used to specify a group of 8-bits. In computer systems, digital memory can be organized either in bits or bytes. In this article, we will discuss the various important concepts related to the topic “bit and byte organized memory”. Concept of ...
Read MoreBinarization of Digital Images Using Otsu Method in MATLAB
In digital image processing, the process of transforming a color image or a grayscale image into a binary image is referred to as binarization of the image. In a binary image, the image pixels are represented using binary values i.e., 0 and 1, where 0 represents the black pixel and 1 represents the white pixel. Binarization is an efficient technique to simplify the image analysis and it also helps in extracting important characteristics of the image. Process of Binarization of Digital Images The process of binarization of a digital image is based on the use of a threshold value to ...
Read MoreWhat is Edge Analytics in IoT?
Edge analytics is a cutting−edge form of data analysis that takes place at the network's edge, where data is actually produced. Unlike traditional analytics conducted in centralized data centers, edge analytics recognizes the growing significance of the Internet of Things (IoT). With the proliferation of IoT devices generating massive data volumes, it becomes impractical or unfeasible to transmit all this information to a central location for analysis. Edge analytics offers a solution by performing data analysis directly at the edge of the network, enabling enhanced performance, reduced latency, and improved security. In this article, we will discuss more ...
Read MoreImproving Business Decision-Making Using Time Series
Introduction Time series is one of the widely used in machine learning and data science, used to forecast and analyze the data collected with time components. It is a field of intelligence where the data can be forecasted and analyzed with the help of past data collected. In industry, businesses are using the time series analyzed and related methods to improvise their decision-making process. In this article, we will discuss the ways in which the time series can help improve the decision-making process in the industry and how businesses are using the same to enhance their productivity and ...
Read MoreThe Role of Trial and Error in Data Analysis
Introduction Data analysis is an approach in the field of data science and machine learning where the dataset is analyzed well in order to get the relationship between dataset features and get an idea about the behavior of the data and its parameters. In data analysis, trial and error play a major role while developing a machine learning model. It has certain advantages that allow data analysts or data scientists to make the model more reliable and predictive according to the dataset available. In this article, we will discuss the role of trial and error in data analysis, ...
Read MoreUp Sampling in Frequency Domain in MATLAB
Introduction to Up−Sampling In digital signal processing, the technique which allows to increase the sampling rate of a signal is termed as up−sampling. For a signal expressed in frequency domain, the up sampling is performed by adding zeros in the frequency domain. In digital signal processing, the up sampling in frequency domain is commonly used to interpolate or expand the bandwidth of a digital signal. In MATLAB, the up−sampling process is completed in the following three phases: Step 1 − Perform Discrete Fourier Transformation (DFT) In this phase/step, the given signal is transformed from the time domain to the frequency ...
Read MoreThresholding-Based Image Segmentation in MATLAB
In computer−based image analysis and processing, the image segmentation is an essential task. The image segmentation allows us to extract specific objects or regions from an image. In digital image processing, the most widely used image segmentation technique is the thresholding−based image segmentation. This image segmentation technique works depending on the pixel intensity values to separate different regions within an image. In this article, we will discuss learn the implementation of thresholding−based image segmentation using MATLAB programming. But before that let’s get into the basics of thresholding and its types. What is Thresholding? In digital image processing, the thresholding is ...
Read MoreHow to Convert RGB Image to YIQ Image using MATLAB?
In the field of digital image and video processing, there are two popular color spaces namely RGB and YIQ. Where, RGB stands for Red, Green, and Blue. The RGB color space is widely used for displaying digital images on display screens. This color space utilizes a combination of intensities of red, green, and blue lights. Therefore, in the RGB color space, each pixel in a digital image composed of three−color channels namely red, green, and blue. On the other hand, YIQ is another color space that is mainly employed in analog video or NTSC systems. YIQ stands for Luminance (Y), ...
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