dsp digital signal processing IEEE PAPERS AND PROJECTS-2020



Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations.



3EC12: DIGITAL SIGNAL PROCESSING CREDITS-3 (LTP: 0, 0)
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To provide a thorough understanding and working knowledge of various transform techniques to analyze discrete time signals and systems in time and frequency domain, design of digital filters, advanced DSP techniques and DSP processor with its applications Teaching Scheme

3EC13: DIGITAL SIGNAL PROCESSING LABORATORY CREDITS 1 (LTP: 0, 0, 2)
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7. Write a MATLAB program (a) To find DFT and IDFT of a sequence without using the in- built function.(b) To Find the circular convolution of given sequences.(c) To find linear convolution of given sequences using DFT. 8. Write a MATLAB program to compute DIT-FFT

Advanced Digital Signal Processing Techniques on the Classification of the Heart Sound Signals
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Speech processing subject primarily depends on the digital signal processing (DSP) methods, such as convolution, discrete Fourier transform (DFT), fast Fourier transforms (FFT), finite impulse response (FIR) and infinite impulse response (IIR) filters, FFT recursiveMany research investigations are based on collecting and processing big amounts of experimental data. Then they share a common problem. Development of statistical methods that are free from unjustified assumptions, simplifications, and treatmentinduced systematicDSP ( Digital signal processing ) applications typically invole complicated mathematical operations to be performed repetitively on data samples with less delay and power consumption. Multiplication based operations like multiply and accumulate (MAC) and inner

Digital Signal Processing for Predicting Stock Prices in Financial market
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Financial market is quite dynamic and challenging in trading where investor will either make money or lose their entire life savings. Predictive logic and analysis tries to evaluate whether there is any similarity between the historical data and future tendency. Accurate predictionThe aim of this Lab Project (Block Praktikum) is to perform and gain knowledge on various topics of digital signal processing which will be learned with the help of MATLAB. In the conversion of Analog to Digital signals, enough word width, a suitable modulation and

EE538 Final Exam Fall 1999 Digital Signal Processing I Live: 16 December 1999
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k=-∞ b [k] p (t− kTo) where b [n] are the information-bearing symbols being transmitted which be viewed as a discrete-time sequence. In binary phase-shift keying, b [n] is either + 1 or -1 for all n. p (t) is the pulse symbol waveform and 1/To is the bit rate. For this problem

BROADCAST SIGNAL PROCESSING IN THE HEADEND OF A CABLE MULTIMEDIA SYSTEM
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Processing of the received signal in the tuner includes: demodulation, analogue-to- digital conversion, filtering, error-prote- ction decoding, removing the randomizing pattern. As a result, the MPEG transport stream (MPEG-TS) is obtained

The Particle/Photon to Digital Converters
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This LOI introduces the Photon to Digital Converter (PDC) concept shown in Figure 1 that relies on 3D vertical integration to combine a SPAD array and a CMOS readout chip with digital signal processing to overcome this trade-off and to achieve optimum performancesThe signals could be processed by analog or digital circuits. Digital signal processing (DSP) has distinct advantages over analog signal processing Understanding digital electronics is necessary to design logic circuits for digital signal processingThe digitized signal is then down converted using digital signal processing techniques to obtain I and Q baseband signals The digitized signal is down converted to I and Q baseband signal using digital processing techniques

Narrow Band Digital Filter for Carrier Aggregation
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Published:17-08-2020 Abstract: Digital signal processing takes its place in the field of research as digital systems are taking over the world . Lawrence R RabinerBerdard Gold, Theory and Applications of Digital Signal Processing , pp 50,Book, Prentice hall.

Design of an Efficient FIR Digital Filter for Real-Time Astronomical Data using Field Programmable Gate Arrays (FPGA)
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Abstract: In recent years, digital signal processing techniques have been widely used in research areas The principal advantage to digital signal processing within an FPGA is the ability to tailor the implementation to match system requirements . 1.1 Problem Statement

Ultrahigh Skin-Conformal and Biodegradable Graphene-based Flexible Sensor for Measuring ECG Signal
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Then, an ancillary signal processing circuit is designed for analog signal collecting from the flexible sensor. The digital signal processing system is programmed including analog digital converter (ADC), microprocessor, signal transmission, and mobile application software It includes broadly known models and techniques, used in the signal processing community, which facilitates their application and understanding among which we highlight: linearization of power amplifiers, compensation of the characteristic of analog-to- digital converters, and r = (1.3) The array factor, AF, can be considered as the spatial analog of a low-pass finite- impulse response averaging filter in discrete-time digital signal processing . It also be viewed as a window-based narrow-beam design using a rectangular window

SIGNAL PROCESSING WITH MATLAB
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Page 30. Fast Fourier Transform (FFT) The discrete Fourier transform, or DFT, is the primary tool of digital signal processing . The foundation of the Signal Processing Toolbox is the fast Fourier transform (FFT), a method for computing the DFT with reduced execution time

Complex nonlinearities for audio signal processing
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1. INTRODUCTION In digital audio signal processing it is common to find audio ef- fects that use nonlinear elements to add harmonic content to the signal being processed, or to achieve a distortion type of effect. Typically, this important and interesting. Many applications like image processing pattern recognition, and audio processing contribute to a major portion of the power dissipated in the digital signal pro- cessing (DSP) units. However, in these

DESIGN AND SIGNAL PROCESSING OF A ECG RECORDER
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Implementation begins with the physiological interface to collect the signals from the human body. Using required front-end so- lution for essential signal conditioning, processor can perform further digital signal processing meas

Implementation of Digital Differentiators at low frequencies
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References SK Mitra, Digital signal processing a computer-based approach Tata McGraw Hill edition R. Chassaing Digital Signal Processing and Applications with the C6713 and C6416 DSK ,2nd ed. United States of America, New Jersey; John Wiley Sons,2008

Machine Learning for Signal Processing in Communications
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2. A. Balatsoukas-Stimming, Non-linear digital self-interference cancellation for in-band full-duplex radios using neural networks, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jun. 5 Page 19 processing (GSP) is a functioning exploration area of recent times and a settled technique of digital signal processing for gathering information from genomic sequences Page 2. In addition to the mentioned approaches, digital signal processing is one of the most influential scientific areas on genomic sequences This issue is accomplished by using a combination of statistical distribution analysis with digital signal processing methods

Journal of Signal Processing and Wireless Networks
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Journal of Signal Processing and Wireless Networks Department of Electronics and Instrumentation Engineering, SNS College of Technology, Coimbatore, India * Corresponding Author email : aishu.mouli@gmail.com ABSTRACT In the design of Digital Integrated Circuits areaDSP Digital signal processing EVM Error vector magnitude FPGA Field programmable gate array I In-phase component IC Integrated circuit ISI Inter-symbol interference LUT Look-up table MER Modulation error ratio PN Pseudo-noise Q Quadrature component QPSK

Implementation of 64-Bit Approximate Multiplier for Accurate and High-Level Processing
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speed of processor. This paper presents 64 bit approximate multiplier for high speed and low delay for advance digital signal processing . Previous it is designed for 16 bit and 32 bit for various applications. Research work is

SAR Signal Processing SystemDesign and Flexible High-Performance Analysis
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Richardson, Alan D. Georgeand, Herman Lam, Optimization and Evaluation of Image- and SignalProcessing Kernels on 3] D. Wang and M. Ali, Synthetic aperture radar on low power multicoredigital signal processor, in JR Bennett and IG Cumming, A Digital Processor for

Implementation of Efficient Multi Bit Adder Using GDI Based Hybrid Digital Circuits
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number of bits. Addition considered an essential operation in arithmetic and logic unit digital signal processing and. The 1-bit full adder contains three input bits and two output bits, the first two bits of the inputs are A and B called operands and the third inputIt has been applied to signal processing digital image processing partial differential equations, statistics, sonar etc. The examples of Fourier analysis in signal processing are in audio signals, seismic wave signals processing and in image processing

FastICpix: Integrated Signal Processing of Active Hybrid Single Photon Sensors with ps Time Resolution
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It introduces a new development methodology in which the signal processing is embedded in the sensor, a large area LLL integrated vision system which extracts timing information from incoming light with Both analog and digital versions exist and each has its own limitations

A digital signal processor (DSP)-based system for embedded continuous-time cuffless blood pressure monitoring using single-channel PPG signal
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This study proposes a user-friendly digital signal processing (DSP) system for embedded continuous-time cuffless blood pressure (BP) mon- itoring. The device utilizes only a single-channel photoplethysmograph (PPG) signal

Comparison of the arterial blood pressure digital signal acquired using invasive and non-invasive methods
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Page 2. c Raquel Pires Alves Page 3. Comparison of the arterial blood pressure digital signal acquired using invasive and non-invasive methods Raquel Pires Alves Integrated Master in Bioengineering Biomedical Engineering 14 4 Signal processing techniques 17

FPGA Based Digital Phase Locked Loop using VHDL Coding
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1990-199 2006. . MJP Brito and S. Bampi, Design of a digital FM demodulator based on a 2nd-order all digital phase locked loop,? Journal of Analog Integrated Circuit and Signal

Optical Communication and Optical Signal Processing
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Additional papers and presentation recordings be available online in the SPIE Digital Library at SPIEDigitalLibrary.org Title of Paper, in International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing edited by work undertaken by the researchers of Russian Federation in the field of signal processing theories, algo- rithms and system control. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and

Design of Fractional Order Recursive Digital Differintegrators using Different Approximation Techniques.
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Abstract Digital integer and fractional order integrators and differentiators are very important blocks of digital signal processing From the perspective of control and signal processing applications, GL definition seems to be more useful, particularly in digital implementation

An evaluation of the accelerometer output as a motion artifact signal during photoplethysmograph signal processing control
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LMS algorithm manages the digital filter weight w [n] and adaptively updates the digital filter weights according to (1) [20 4. CONCLUSION This paper presents an evaluation of the accelerometer output as a motion artefact signal during Photoplethysmograph signal processing

Identification Of 2 nd Order Digital IIR Filter From 4 th Order Classical Type Using Bacterial Foraging Algorithm (BFA)
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The transition from Simulink to MATLAB in Real-Time Digital Signal Processing Education. Book titled Digital Signal Processors: Algorithms, Implementations, and Applications, published by the authors Digital Signal Processing Fundamentals and Applications First edition simple. There are numerous applications of digital filters which include telecommunication, control system, signal processing as well as in many video processing and audio processing guarding(defense) equipmentsand so on. AThis paper presents a new digital background calibration method to correct MDAC errors. The novelty of this research is to use Newton Raphson algorithm in order to reduce the number of divisions as well as power in digital domain. This is achieved by combining the

Digital Noncoherent Demodulator of Fourposition Differential Phase Shift Keyed Signals.
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0 T with their separation into even and odd pairs shifted in time by a quarter of the period or by 900 by the phase, as it is described in [ 8], makes it possible to implement the quadrature channels of digital phase shift keyed signal processing

Imaging/Spectroscopy and Signal Processing Technology
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Additional papers and presentation recordings be available online in the SPIE Digital Library at SPIEDigitalLibrary in International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, edited by The contents of the book are divided into five parts Parts I IV dealing with Analog Signal Processing and Part V dealing with Digital Signal Processing . There are a total of 28 chapters. For details, see Contents. ix 133 15.2 Our Early Work in Digital Signal Processing

LoBA: A Leading One Bit Based Imprecise Multiplier for Efficient Image Processing
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Abstract Several applications such as signal processing multimedia and big data analysis exhibit computational error tolerance 1 Introduction The modern devices embedded with compute intensive multimedia applications require energy efficient signal processing cores

Recent Advances in the Temple University Digital Pathology Corpus
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N. Shawki et al., The Temple University Digital Pathology Corpus, in Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications, 1st ed., I. Obied, I.

On the Development and Analysis of Blind Watermarking Algorithms for Digital Still Images
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Digital signatures are being used traditionally for integrity and genuineness of digital data. In this additional bandwidth 11 4. Wavelets provide high robustness to regular signal processing attacks. 5. Wavelet transform understands HVS more intimately compared to the DCTThe third paper, titled The Temple University Hospital Digital Pathology Corpus, focuses on an extensive big data resource for digital pathology and introduces The next group of four papers focus more on signal processing methods for high performance classification

Implementation of Fractional Fourier Transform in Digital Filter Design
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and accuracy. The inverse of derived integrator leads to produce digital differentiator. The 44]. In recent years, the FrFT has attracted considerable amount of attention in many applications like optics and signal processing A comprehensive 3 Pattern analysis based acoustic signal processing : a survey of the state-of-art Jyotismita Chaki1 Received Abstract Audio signal processing is the most challenging field in the current era for an analysis of an audio signal . Audio signal

Adaptive Speech Enhancement using DSP Processor
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Through the use of digitalsignal processing digital hearing aid now offers what the analog hearing cannot offer.The primary problem faced during noise reduction pertaining to speech, is that no parameters are known about the phase signal to cancel the primary source signal and easily deployable strategy for digital disease detection [A. Ramcharan et al.(2017)]. II. LITERATURE SURVEY A. Image Processing The authors R. Shekhar et al., provided an approach for Medical image processing in Handbook of Signal Processing Systems.The existing image. Key words: Two-dimensional Haar wavelet conversion, one-dimensional Haar wavelet conversion, image digital processing Haars rapid conversion algorithm, discrete signal . 1. INTRODUCTION Currently, two

Advances in intelligent information hiding and multimedia signal processing
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Preface Welcome to the 15th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2019) and Multimedia Security, Journal of Information Assurance and Security, Journal of Computers, International Journal of Digital Crime and Abstract Efficient utilization of on-chip Static Random Access Memory (SRAM) space is more important on processor core design in modern Field Programmable Gate Array (FPGA) based Digital Signal Processing (DSP) applications 4) indicates that Doppler frequency caused by array motion provides addi- tional information on DOA and allows for the synthetic aperture processing . However, it is worth noting that the signal waveform s(t) also brings phase fluctuation into r(t). For digital communications, s(t system ASC Antenna system of coordinates ASp Air space ATC Air traffic control AV Air vehicle AvC Aviation complex BCS Bound coordinate system CM Centre of mass CO Coherent oscillator computer Computer DP Directional path DS-P Digital signal processing DSP Digital

ADJUSTABLE FILTER BANK FOR SPEECH
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The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing applied to speech signals Digital signal processing and analog signal processing are subfields of signal processing

GSOC 2020: Filter Design Tool Enhancements
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Digital Signal Processing has been used in solving real world problems from quite some time, and the use of filters has long grown 1. Lyons, RP, Understanding Digital Signal Processing Section 10.4 (Polyphase Filters) and Section 13.20 (A Practical Spectrum Analyzer)