Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Signals

2019 ◽  
pp. 529-590
Author(s):  
Lizhe Tan ◽  
Jean Jiang
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Digital Conversion ◽  
Analog To Digital ◽  
Analog To Digital Conversion ◽  
Bandpass Signals

scholarly journals Analog to Digital Converters (ADC): A Literature Review

2020 ◽  
Vol 184 ◽  
pp. 01025
Author(s):  
Hemlata Dalmia ◽  
Sanjeet K. Sinha
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Communication Technology ◽  
High Performance ◽  
Reducing Power ◽  
Digital Signal ◽  
Analog To Digital Converters ◽  
Analog To Digital ◽  
Cmos Scaling ◽  
Analog To Digital Conversion

The signal processing is advancing day by day as its needs and in wireline/wireless communication technology from 2G to 4G cellular communication technology with CMOS scaling process. In this context the high-performance ADCs, analog to digital converters have snatched the attention in the field of digital signal processing. The primary emphasis is on low power approaches to circuits, algorithms and architectures that apply to wireless systems. Different techniques are used for reducing power consumption by using low power supply, reduced threshold voltage, scaling of transistors, etc. In this paper, we have discussed the different types and different techniques used for analog to digital conversion of signals considering several parameters.

scholarly journals A review: algorithm used for beam forming systems

2017 ◽  
Vol 7 (1.2) ◽  
pp. 58
Author(s):  
Soma Pal ◽  
Azazul Haque
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Smart Antenna ◽  
Digital Signal ◽  
Beam Forming ◽  
Phased Array Antenna ◽  
Analog To Digital ◽  
Analog To Digital Conversion ◽  
Weight Calculation ◽  
Processing Techniques

Wireless communication uses a smart antenna to provide better coverage and capacity for the communication system. Main functions performed by the smart antenna are Direction of Arrival estimation (DOA) and beamforming (DBF). The beam forming is signal processing techniques which combine antenna array technology with high-performance up/down-conversion, analog to digital conversion and digital signal processing to provide receivers with very high spatial selectivity. This paper evaluates non-blind algorithm such as LMS, to compute the weight calculation for phased array antenna using Matlab Simulink.

scholarly journals Digital Signal Processing–based Dynamic Mass Measurement System for Egg Weighing Process

2017 ◽  
Vol 50 (4) ◽  
pp. 97-102 ◽  
Author(s):  
İsmail Yabanova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Mass Measurement ◽  
Digital Signal ◽  
Load Cell ◽  
Analog To Digital ◽  
Manufactured Products ◽  
Measurement Signal ◽  
Dynamic Weighing ◽  
To Receive

In this study, an electronic, mechanical and software system, where the weight measurements of eggs can be performed dynamically, is developed. As the speed is an important factor in the production sector, it is of significant importance that the manufactured products be weighed in a rapid and correct manner. For this reason, systems where the products are dynamically weighed are developed. However, as the products are weighed while they are moving in dynamic weighing systems, undesired disturbing effects occur on the measurement signal. The product weights must be measured at required speeds by eliminating this disturbing effect. Dynamic weighing is performed using a load cell. A digital signal processing–based card has been developed to measure the signal received from the load cell and to send it to the computer. The eggs are weighed while they are moving as they roll over the load cell. A program has been developed using the LabVIEW program to receive, filter and analyze the data read and sent to the computer by digital signal processing. In addition, the configuration adjustments of the integrated analog-to-digital converter that reads data from the load cell can also be performed thanks to this program.

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.

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