dsp-digital signal processing ieee papers 2019-2019-IEEE


The DSP Book
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Digital Signal Processors ( DSP ) are specific processors used for signal processing. Digital signal processing is used in many areas such as sound, video, computer vision, speech analysis and synthesis, etc. Each of these areas need digital signal processing and can

HUMAN VOICE TO MUSICAL NOTES USING DIGITAL SIGNAL PROCESSING
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The music industry, over the past few years, has been a supporting platform for musicians in pursuing different fields in music. The main constraint for a music artist is to write, compose music and then arranging it onto a music sheet. With all this being a time consuming and

Training Digital Signal Processing
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Digital Signal Processing (DSP) is an important aspect in the field of Embedded Systems Engineering. For many years the huge interests and developments in the industry signify the importance of DSP techniques. Important applications of DSP can be found in consumer

A StegIbiza implementation using traditional digital signal processing techniques
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StegIbiza is a steganography technique that uses the constant tempo of certain styles of music to hide information. By varying the tempo in certain parts of the song, one can mask information. Inspired by the StegIbiza technique, this paper attempts to implement StegIbiza

EE538 Final Exam Fall 1999 Digital Signal Processing I Live: 16 December 1999
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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

Digital Communication and Signal Processing
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Digital communication systems are characterized by ever increasing requirements on data rate, spectral efficiency and reliability. Due to the huge advances in very large scale integration (VLSI) we are now able to implement extremely complex digital signal

Digital Signal Processing for Analytics in Biostatistics Biometric Applications. Annal Biostat Biomed Appli. 1 (4): 2019
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All the biostatistics and biometric applications suffer from the effects of added noise due to their data dependency. The quality of data and impurities due to noise could affect the decisions made based on these datasets. Detecting anomalies caused by noisy datasets

RoBA Multiplier: A Rounding-Based Approximate Multiplier for High-Speed yet Energy Efficient Digital Signal Processing
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In this paper, we have a tendency to propose associate degree approximate number thats high speed however energy economical. Theapproach is to around the operands to the closest exponent of 2. this fashion the machineintensive a part of the multiplication is omitted





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