Aims of the report The aim of this report is to research into basic hardware and software principle’s used in audio and visual processing. Information about RGB colour model and how it used on computer displays will be provided‚ Nyquist theorem‚ WAV structure which includes header information‚ logic gates with information about the 7 gates which are used‚ basic circuits used audio visual systems and how binary is used for audio quality. Research and experimentation will be done into the topics to
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etc. • Processing takes place in stages: – Enhancement‚ segmentation‚ image analysis and matching (pattern recognition). E.G.M. Petrakis Machine Vision (Introduction) 3 Illumination Image Acquisition Machine Vision System Scene 2D Digital Image Image Description Feedback The goal of a machine vision system is to compute a meaningful description of the scene (e.g.‚ object) Machine Vision Stages Image Acquisition (by cameras‚ scanners etc) Image Processing Image Enhancement
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APPLICATION NOTE AN014 Understanding FFT Windows The Fast Fourier Transform (FFT) is the Fourier Transform of a block of time data points. It represents the frequency composition of the time signal. Figure 2 shows a 10 Hz sine waveform (top) and the FFT of the sine waveform (bottom). A sine wave is composed of one pure tone indicated by the single discrete peak in the FFT with height of 1.0 at 10 Hz. Introduction FFT based measurements are subject to errors from an effect known as leakage
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MATLAB Functionality for Digital Speech Processing • MATLAB Speech Processing Code • MATLAB GUI Implementations Basic Functionality • • • • • • • • • • • • read a speech file (i.e.‚ open a .wav speech file and read the speech sample into a MATLAB array) write a speech file (i.e.‚ write a MATLAB array of speech samples into a .wav speech file) play a MATLAB array of speech samples as an audio file play a sequence of MATLAB arrays of speech samples as a sequence of audio files record a speech file into a MATLAB array
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A Paper presentation on REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC – QUEUE DETECTION ALGORITHM [pic] ABSTRACTh This paper primarily aims at the new technique of video image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds. Increasing congestion problems and problems associated with existing detectors spawned an interest in such new
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Guide Mr. Amit Kumar Kar Project Co-ordinator Mr. Rajeev Ranjan Kumar Tripathi Mr. Shailesh Patel Abstract The field of Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image Processing methods is to improve the pictorial information for human interpretation. Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is one of the enhancement techniques which is used
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Hyderabad. DIGITAL SIGNAL PROCESSING LAB MANUAL III YEAR II SEMESTER (ECE) Prepared by: K. Ashok Kumar Reddy Department of Electronics & Communications Engineering‚ Visvesvaraya College of Engineering & Technology‚ Ibrahimpatnam. Digital Signal Processing Lab Manual Page 1 www.jntuworld.com www.jntuworld.com Department of Electronics and Communication VCET‚Hyderabad. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD III Year B.Tech. ECE - II Sem L T/P/D C 0 -/3/2 DIGITAL SIGNAL PROCESSING
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for run LEDs like that. We named it as LED Knight Rider Circuit. You need NE555N timer IC and HEF4017BE logic IC for that. The NE555N IC we use as a multivibrator and it generates square pulses. That pulses use to procure clock input for HEF4017BE Digital Counter
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Synthesis and Array Processor Realization of a 2-D IIR Beam Filter for Wireless Applications Rimesh M. Joshi‚ Student Member‚ IEEE‚ Arjuna Madanayake‚ Member‚ IEEE‚ Jithra Adikari‚ Member‚ IEEE‚ and Len T. Bruton‚ Fellow‚ IEEE Abstract—A broadband digital beamforming algorithm is proposed for directional filtering of temporally-broadband bandpass space-time plane-waves at radio frequencies (RFs). The enhancement of desired waves‚ as well as rejection of undesired interfering plane-waves‚ is simulated
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Detection of pollutants in atmosphere by digital signal processing of satellite images Abstract Satellite imaging has changed the view of remote sensing application. Different methods and ways of processing have been found out . These methods have extended from military applications to research work. A satellite image has to go for image processing and the proper pictorial view can be achieved of the required object. Remote sensing is done in two ways one is satellite imaging and other is ariel
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