An Innovative Software Tool For Teaching Discrete Convolution From The Perspective Of The Output Signal In Digital Signal Processing: Its Software Design And Implementation, And Usage In Teaching And Learning 2

2020 ◽  
Author(s):  
Shanmugalingam Easwaran
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Design ◽  
Output Signal ◽  
Teaching And Learning ◽  
Software Tool ◽  
Digital Signal ◽  
Discrete Convolution ◽  
Design And Implementation

scholarly journals GUI Design for Comparative Output Signal DFT and DTFT with LabVIEW

INSIST ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 210
Author(s):  
Dwi Astharini ◽  
Tsaura Aulia ◽  
Putri Wulandari ◽  
Rahmat Alamtaha ◽  
Rifqy Afisha
Keyword(s):  
Signal Processing ◽  
Fourier Transform ◽  
Digital Signal Processing ◽  
Virtual Instrument ◽  
Output Signal ◽  
Block Diagram ◽  
Digital Signal ◽  
Digital Form ◽  
Mathematical Technique ◽  
Labview Program

An application GUI (Graphical User Interface) is designed as a software simulation to compare the output signal of DFT and DTFT. DFT (Discrete Fourier Transform) and DTFT (Discrete Time Fourier Transform) are part of the digital signal processing. Digital signal processing is an analog signal processing method uses a mathematical technique to perform a transformation or retrieving information in digital form. One of the benefits of digital signal processing is to facilitate the representation of the signal, because the signal in digital form will be more visible, easily processed and has high accuracy. This GUI application designed using LabVIEW from National Instruments.  LabVIEW is a software graphical programming or a block diagram. LabVIEW program known as VI or Virtual Instrument. The input signal in this application is a square signal

Ideal amplification of broadband signals

2013 ◽  
Vol 5 (2) ◽  
pp. 179-186 ◽  
Author(s):  
Ron McCallister
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Power Amplifier ◽  
Output Signal ◽  
Digital Signal ◽  
Transfer Characteristic ◽  
Signal Power ◽  
Peak Reduction ◽  
Average Output ◽  
Power Added Efficiency

This paper describes a digital signal processing (DSP) method for achieving “ideal” amplification, maximizing both the average output signal power and power-added-efficiency for any signal waveform and any power amplifier (PA) transfer characteristic. Detailed algorithms are described for optimally accomplishing peak reduction (PR), predistortion (PD) linearization, and integration of these DSP techniques with envelope tracking PAs. Hardware characterization results validate the theories of PD and PR operation.

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