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 More

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 More

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 More

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 More

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 More

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 More

MATLAB is a scientific programming language that provides different ways of expression information. One of them is 2D discrete data plots. In MATLAB, we can create several different types of 2D discrete data plots to represent data and information graphically. In this article, we will explore different types of 2D discrete data plots in MATLAB, and will discuss their implementation using MATLAB programming. So, let’s start with the basic introduction of 2D discrete data plots in MATLAB. Introduction to 2D Discrete Data Plot In MATLAB, the 2D discrete data plot is a graphical way of representing information or data points ... Read More

In MATLAB, an array is a data structure used to store elements in contiguous memory blocks. A column vector is a one−dimensional array of elements. In a column vector, the elements are arranged column−wise. It is also important to note that MATLAB by default stores arrays in a column wise manner which means the elements of the array are stored in the memory as a column vector. In this article, we will explore different approaches to convert an array into a column vector using MATLAB programming. Method (1): Using Transpose Function We can turn an array into a column vector ... Read More

In MATLAB, a matrix is nothing but an array of rows and columns arranged in a square or rectangular shape. A matrix is basically a two−dimensional array of numbers. MATLAB allows us to create various types of matrices, such as n × n matrix, n × m matrix, column vector, row vector, etc. In this article, we will learn how to turn a matrix into a row rector using MATLAB programming. A row vector is a one−dimensional array in which the elements of the matrix are arranged in a single row. When we create a row vector, MATLAB stores the ... Read More

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 More