Digital Signal Processing - 936 Words

With the advent of digitization in every field from communication to media, the need for methods to process digital signals is more important than ever. Now that I am on the threshold of embarking on a career that will encompass a major part of my adult life, I think it is natural that I veer towards Signal processing. As I look back, I feel that my natural inclination and excellence in mathematics from childhood has led me along this path. Digital Signal processing incorporates the use of mathematics to manipulate an information signal to modify or improve it in some way, fitting naturally into my area of strength and interest. I graduated from high school with 97% in Physics, Chemistry and Maths as a result of which I was admitted in SSN, ranked amongst the top engineering colleges in India. During my undergraduate study in Electronics and Communications Engineering I developed a liking for subjects like Digital Communication, Digital Image Processing, Digital Signal Processing.etc which provided me with a fundamental knowledge about digital signals and a thirst to explore more. My actual venture into DSP, started during fifth semester holidays when I attend a course on â€Å"DSP Applications† conducted by IIT Madras and Analog Devices. This gave me a great opportunity to work with several professors in IIT on projects like Noise Cancellation, Image Restoration using Kalman filter.etc. Intrigued by this experience, I devoted more time towards studying various fields inShow MoreRelatedDigital Signal Processing755 Words   |  3 PagesCHAPTER I INTRODUCTION On systems that perform real-time processing of data, performance is often limited by the processing capability of the system [1]. Therefore, in order to judge the efficiency of any system it is very important that we evaluate the performance of the architectures based on which the system is being built. We can also state that we can make a system more efficient and more capable by working upon the algorithm on which the system is being built. The more efficientRead MoreThe Impact of Digital Signal Processing2184 Words   |  9 PagesThere are a great number of applications for Digital Signal Processing and in order to better understand why DSP has such a large impact on multiple aspects of society, it helps to better understand the wide variety of applications it can be used for. Here we will briefly look into the following applications of Digital Signal Processing and their uses; speech and audio compression, communications, biomedical signal processing and applications in the aut omobile manufacturing industry. Li Tan [1] goesRead MoreApplications Of Digital Signal Processing2973 Words   |  12 PagesApplications of Digital Signal Processing in Biomedical field: A Survey 1Ashish Mistry, 2 Ishan Mehta, 3Shantanu Patel, 4Hardik Modi 1,2,3Students, 4Assistant Professor, Charotar University of Science and Technology, Changa-388421, Gujarat, India 1ashish31093@gmail.com,2 ishanmehta1805@gmail.com, 3shantanoopatel@gmail.com Abstract: This paper discusses about the applications digital signal processing in the biomedical field, the recent advancements in the field of signal processing with new instrumentsRead MoreThe Digital Signal Processing Applications2919 Words   |  12 PagesCHAPTER 1 INTRODUCTION With advent of modern high-performance signal processing applications, high throughput is in great demand. Digital Signal Processing is perhaps the most important enabling technology behind the last few decade’s communication and multi-media revolutions. Most recent research in the digital signal processing (DSP) area has focused on new techniques that explore parallel processing architectures for solutions to the DSP problems .DSP is used in a numerous real time applicationRead MoreThe Effect Of Digital Analog Audio Signal Processing1434 Words   |  6 Pagesthe research of digital signal processing is undergoing rapid development. At present, it has been used in many fields such as communications industry, voice and acoustics applications, radar and image. The processing of the speech signal is one of the key areas of DSP application. So far, it has formed a number of research directions, such as speech analysis, speech enhancement, speech recognition, voice communication, etc.. With the development of IT technology and voice processing technology, peopleRead MoreDelta Sigma Based Digital Signal Processing9726 Words   |  39 PagesThe proposed research focuses on Delta Sigma based Digital Signal Processing (DSP) circuits on Very Large Scale Integration (VLSI) systems for low-power intelligent sensors -in particular on building systematic tools to study their design principles and fundamental performance limits of energy-efï ¬ cient low-complexity architectures and on the analysis of their practical advantages and limits. Integrated intelligent sensors have emerged in a wide range of applications including healthcare, surveillanceRead MoreDelta Sigma Based Digital Signal Processing9737 Words   |  39 PagesThe proposed research focuses on Delta Sigma based Digital Signal Processing (DSP) circuits on Very Large Scale Integration (VLSI) systems for low-power intelligent sensors -in particular on building systematic tools to study their design principles and fundamental performance limits of energy-efï ¬ cient low-complexity architectures and on the analysis of their practical advantages and limits. Integrated intelligent sensors has emerged in a wide range of applications including health care, surveil-Read MoreUsing Kalman Filter Is Digital Signal Processing Based Filter853 Words   |  4 PagesVIDEO DENOISING Nowadays digital cameras which is used to capture images and videos are storing it directly in digital form. But this digital data ie. images or videos are corrupted by various types of noises. It may cause due to some disturbances or may be impulse noise. To suppress noise and improve the image performances we use image processing schemes. In this paper they uses Kalman filter to remove the impulse noise. The Kalman filter is digital signal processing based filter. It estimatesRead MoreDigital Signal Processing Quiz1620 Words   |  7 Pages (DIGITAL SIGNAL PROCESSING) 1.What are the basic elements of digital signal processing. List the advantages of digital signal processing over Analog signal processing? 2. Give the classification of signals (a) Continuous time signals and discrete time signals. (b) Deterministic and Non-Deterministic signals (c) Periodic and Aperiodic signals (d) Even and Odd signals (e) Energy and Power signal 3.Determine whether theRead MoreDigital Time Signal Processing7459 Words   |  30 Pages8 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.3 0.2 0 0.1Ï€ 0.2Ï€ 0.4Ï€ 0.6Ï€ 0.8Ï€ w Ï€ Phase Response ∅ 0.4Ï€ 0.3Ï€ 0.2Ï€ 0.1Ï€ 0 –0.1Ï€ –0.2Ï€ –0.3Ï€ –0.4Ï€ w 0 0.2Ï€ 0.4Ï€ 0.6Ï€ 0.8Ï€ Ï€ Solution : (a) (ii) To find response : The frequency components present in the input signal x(n) are, w1 = Ï€ 2 Ï€ 4 and w2 = Ï€ 2 w2 = At ⎛ π⎞ M ( w) = 2 cos âŽÅ" 2 ⎟ = 2 cos (Ï€ ) = 2 ⎠ 2⎠  ⎛π⎞ φ = −2âŽÅ" ⎟ + Ï€ = 0 ⎠2⎠  DSP Help Line : 9987030881 www.guideforengineers.com B E EXTC At w2 = Ï€ 4 DTS P DEC- 2004 3 Ï€ ⎛ π⎞ M ( w) = 2 cos âŽÅ"