Signal is defined as the information passed by any physical device or human being. The simple and best example of the signal is the traffic signal which gives the information to the drivers about the right way to conflicting movement of traffic at an intersection of road. The various real time signals are speech, text, image and video. For example, if anybody can share some information, then the information is not same during the entire communication period rather it varies with time. Another example
computer or, in fact, any advanced computer device. It integrates the functions of a central processing unit, the portion of a computer responsible for carrying out programmed instructions, onto a single integrated circuit that couples the important thinking devices of the machine with the electrical infrastructure needed to support them. Microprocessor design is able to incorporate a tremendous amount of processing power in a very small space. Each step of the way to modern microprocessing has spurred
must be closely related to the use of memory and the transmission of digital images. The wavelet transform decomposes the image into shape. For display and graphical display with DCT and DWT. DWT is used for compression application. Wavelet transform divides the information of an image into approximation and details sub-signals. The approximation sub-signals show the general trend of pixel values and other three detail sub-signals show the vertical, horizontal and diagonal details or changes in the
frequency continuous wave (SFCW) through wall radar (TWR) is discussed in this paper. As the Doppler bandwidth of signals reflected from slow moving objects such as human beings illuminated by SFCW TWR sensor is negligible compared to transmit bandwidth, the received signal can be heterodyned with a signal offset from transmitted one by an intermediate frequency, and the echo signal at IF is passed through a band pass filter with very narrow pass band centered
look to some subject—usually a physical object or a person. Images may be two-dimensional, like screen show, photographs or it can also be three dimensional, such as hologram or sculpture. Images will be captured by optical devices like cameras. A digital image is essentially a collection of pixel values arranged in rows and columns. Each pixel consists of 8 bits which allows different brightness level ranging from 0 to 255. The captured photos from camera forms an image, it requires considerable amount
Content 9.1 Introduction 9.2 Objective 9.3 Future Technological Trends 9.3.1 Pervasive Networking 9.3.2 Integration of Voice, Video and Data 9.3.3 New Information Services 9.4 Communication Trends 9.5 Digital Trends 9.6 Summing Up 9.7Model Examination Questions 9.8 Suggested Readings 9.1 Introduction There is a wide growth in Data Communication Systems. Many new technologies are developing to improve the functioning of organizations. Digitization, automation
CHAPTER -1 INTRODUCTION The outbreak of digital image processing in 1920’s has revolutionalised the communication process [l]. The images were the first language used by the humans for interaction. The images in the form of pictures were carved on stone which became the first language for communication and these carvings were available for the future generation. With the technical advancements in recent times; image processing techniques has became an important part of the communication system. From
CHAPTER 1 INTRODUCTION 1.1 Cryptography The word cryptography is derived from the Greek words Cryptos meaning cover and grafia meaning writing [1] defining it as covered writing. In image cryptography the information is hidden exclusively in images. Cryptography is the art and science of secret communication .It is the practice of encoding/embedding secret information in a manner such that the existence of the information is invisible. The original files can be referred to as cover text, cover image
AN ASSESSMENT ON FEATURE EXTRACTION APPROACHES C.Sangeetha G.Deepti Raj Assistant Professor Assistant Professor sangsivaselvi@gmail.com deepti.2510@gmail.com Department of Computer Science and Engineering Chettinad College of Engineering & Technology-Karur Abstract: Feature extraction is a special form of