Signal processing via sampled-data control theory

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 6-8
Author(s):  
Yutaka Yamamoto ◽  
Kaoru Yamamoto ◽  
Masaaki Nagahara ◽  
Pramod P Khargonekar
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Music Videos ◽  
The Other ◽  
Digital Data ◽  
Sampled Data ◽  
Digital Signals ◽  
Data Control ◽  
Analogue Signals

Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled, the values from the discrete, sampled points are kept while the information between the sampled points is lost. Various techniques have been developed over the years to recover this lost data, but the results remain incomplete. Professor Yutaka Yamamoto's research is focused on improving how we can recover or reconstruct the original analogue data.

Fundamentals of Multirate Systems

2011 ◽  
pp. 1601-1605
Author(s):  
Gordana Jovanovic Dolecek
Keyword(s):  
Signal Processing ◽  
Integrated Circuits ◽  
Digital Signal Processing ◽  
Rapid Development ◽  
Sampling Rate ◽  
Digital Signal ◽  
Digital Signals ◽  
Multiple Sampling ◽  
Multirate System ◽  
Rate Conversion

Digital signal processing (DSP) is an area of science and engineering that has been rapidly developed over the past years. This rapid development is a result of significant advances in digital computers technology and integrated circuits fabrication (Mitra, 2005; Smith, 2002). Classical digital signal processing structures belong to the class of single-rate systems since the sampling rates at all points of the system are the same. The process of converting a signal from a given rate to a different rate is called sampling rate conversion. Systems that employ multiple sampling rates in the processing of digital signals are called multirate digital signal processing systems. Sample rate conversion is one of the main operations in a multirate system (Harris, 2004; Stearns, 2002).

Encoding Information Using Molecular Vibronics

2006 ◽  
Vol 6 (3) ◽  
pp. 675-684 ◽  
Author(s):  
Liuming Yan ◽  
Yuefei Ma ◽  
Jorge M. Seminario
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Vibrational Mode ◽  
Digital Signal ◽  
The Other ◽  
Electric Currents ◽  
Modulated Signals ◽  
Processing Techniques ◽  
Frequency Modulations ◽  
Signal Processing Techniques

Signals carrying information are encoded in molecular vibrational waves (vibronics) rather than in electric currents as widely done in microelectronics. We demonstrate theoretically that signals can be transmitted along a long polypeptide molecule; the signal is modulated in a terahertz carrier corresponding to a frequency of an intrinsic vibrational mode of the backbone of the polypeptide, via amplitude and frequency modulations. The modulated carrier is coupled as a vibrational wave to the polypeptide at one end of the molecule and propagates for more than 168 Å towards the other end. Digital signal processing techniques are used to recover the modulated signals.

scholarly journals TEACHING DELTA-SIGMA SIGNAL CONVERSION IN AN INTERFACING COURSE

2015 ◽  
Author(s):  
Witold Kinsner
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
The Other ◽  
Original Signal ◽  
New Approach ◽  
Analog To Digital ◽  
Signal Conversion ◽  
Delta Sigma ◽  
Low Pass

Conversion of signals is fundamental to theinterfacing of embedded systems. Such signal conversionsinclude (i) analog-to digital (A/D) in order to translate ananalog form of the signal to its sampled and quantized formfor digital signal processing, (ii) digital-to-analog (D/A) inorder to translate the digital samples to a correspondingboxcar signal for further low-pass filtering and recovery ofthe original signal, and (iii) digital-to-digital (D/D) toachieve new desired properties of the data.This paper focuses on teaching the delta-sigma (ΔΣ)A/D conversion that is often omitted from an interfacingcourse because it appears to be a difficult topic tocomprehend and to teach. This new approach links the newΔΣ conversion to the other classes of A/D conversiontechniques explicitly, thus unifying and simplifying theteaching of signal conversions.

scholarly journals Analog Signal and Digital Signal Processing in Telecommunication System

2021 ◽  
Vol 1 (6) ◽  
pp. 1-5
Author(s):  
Phong Hung ◽  
Vu Duc Vuong
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Analog Signal ◽  
Digital Data ◽  
Telecommunication System

The term digital signal is a term from a technology that converts an analog signal into digital data so that the signal can be processed more easily and quickly. The term digital itself is a system that only recognizes two conditions. The two conditions are usually represented by the numbers zero and one, on and off, or others. The smallest unit of digital signal is the bit.

Discrete signals: sampling, quantization and coding

2019 ◽  
pp. 265-298
Author(s):  
Max A. Little
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Real World ◽  
Digital Signal ◽  
Digital Data ◽  
Real Numbers ◽  
Representation Problem ◽  
Digital Storage ◽  
Discrete Signals

Digital signal processing and machine learning require digital data which can be processed by algorithms on computer. However, most of the real-world signals that we observe are real numbers, occurring at real time values. This means that it is impossible in practice to store these signals on a computer and we must find some approximate signal representation which is amenable to finite, digital storage. This chapter describes the main methods which are used in practice to solve this representation problem.

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