explain what is signal ,signal processing ,analogue viruses digital signal types of signal processing their advantages and disadvantages and their comparison .I-e which one is better …….why analog signal processing (ASP) is replaced with digital signal processing (DSP). What is Signal??? Any physical quantity that varies with time or any other independent variable is called signal. What is signal processing??? Signal processing is concerned with the improvement of quality of a signal that is under
THE PROCESSING OF FUTURE Signal processing is one of the main subjects of EE engineering. Humans utilize a number of technologic gadgets which uses signal processing on day to day experiences. The signal processing units inside these gadgets can evaluate the data which are exposed from the outside. Also, right after the acquiring data, these units can manipulate them and give useful outputs. The signal processing is the resemble of the human brain functions. The technology enhances our capability
1.1 OVERVIEW Image processing is basically the use of computer algorithms to perform image processing on digital images. Digital image processing is a part of digital signal processing. Digital image processing has many significant advantages over analog image processing. Image processing allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing of images. Ease of use and cost effectiveness
that recognizes hand gestures and uses it for Human Machine Interaction (HMI). Gesture recognition is interpreting human gestures that commonly originate from the face or hand through mathematical algorithms. Hand gestures are recognized by Image Processing
SR, data collection, data pre-processing which is sampling and de-noising, data extraction, classification algorithm for example multilayer perceptron (MLP) and hidden markov model (HMM). 2.2.1
is the signal acquisition process, in which the signals, used to interpret the user’s intentions like EEG are recorded. During this process the brain electrical signals are captured, amplified as the signal strength is usually low and digitized, so that they can be used by computer applications and transmitted the next stage for signal processing and feature extraction. In the signal processing stage the obtained signals are analyzed and it can be divided in 3 parts: signal pre-processing, feature
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 images. If these details are very small then they can be set to zero without
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
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
units like diphones produces clear speech, it does not have naturalness mainly because each diphone has only a single example. First of all, signal processing inevitably incurs distortion, and the quality of speech gets worse when the pitch and duration are stretched by large amounts. Furthermore, there are many other subtle effects which are outside the scope of most signal processing algorithms. For instance, the amount of vocal