Signal processing analysis of DSP based PWM generation for high switching frequency voltage source inverter

2015 ◽  
Vol 12 (5) ◽  
pp. 499-506
Author(s):  
Hardik A. Shah ◽  
Satish K. Shah ◽  
Rakesh M. Patel
Keyword(s):  
Hardware Implementation ◽  
Voltage Source ◽  
Switching Frequency ◽  
Voltage Source Inverter ◽  
Storage Oscilloscope ◽  
Digital Storage ◽  
High Switching Frequency ◽  
Digital Storage Oscilloscope ◽  
Dsp Controller ◽  
Fft Analysis

This paper presents real time hardware implementation of DSP based 180 degree control algorithm and MATLAB SIMULINK based software Implementation for 3-phase 4-leg IGBT based voltage source inverter. Triggering pulses generated using Texas Instruments TMS 320F28335 DSP controller and that triggers the 6 IGBTs of Voltage source inverter. Results of pulse generated using DSP and output of the Voltage source inverter were captured using Digital Storage Oscilloscope. FFT analysis for output signal of software and hardware implementation presented with the analysis.

scholarly journals Information Entropy- and Average-Based High-Resolution Digital Storage Oscilloscope

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Jiang ◽  
Lianping Guo ◽  
Kuojun Yang ◽  
Huiqing Pan
Keyword(s):  
Data Fusion ◽  
Information Entropy ◽  
Signal To Noise Ratio ◽  
Sampling Rate ◽  
Storage Oscilloscope ◽  
Whole Process ◽  
Digital Storage ◽  
Gross Error ◽  
Digital Storage Oscilloscope ◽  
Sample Data

Vertical resolution is an essential indicator of digital storage oscilloscope (DSO) and the key to improving resolution is to increase digitalizing bits and lower noise. Averaging is a typical method to improve signal to noise ratio (SNR) and the effective number of bits (ENOB). The existing averaging algorithm is apt to be restricted by the repetitiveness of signal and be influenced by gross error in quantization, and therefore its effect on restricting noise and improving resolution is limited. An information entropy-based data fusion and average-based decimation filtering algorithm, proceeding from improving average algorithm and in combination with relevant theories of information entropy, are proposed in this paper to improve the resolution of oscilloscope. For single acquiring signal, resolution is improved through eliminating gross error in quantization by utilizing the maximum entropy of sample data with further noise filtering via average-based decimation after data fusion of efficient sample data under the premise of oversampling. No subjective assumptions and constraints are added to the signal under test in the whole process without any impact on the analog bandwidth of oscilloscope under actual sampling rate.

scholarly journals Detection of Skin Cancer using Optical Method

2019 ◽  
Vol 9 (2S2) ◽  
pp. 933-936
Keyword(s):  
Skin Cancer ◽  
Optical Method ◽  
Cancer Tissue ◽  
Storage Oscilloscope ◽  
Hazardous Chemical ◽  
Digital Storage ◽  
Nir Light ◽  
Skin Cancers ◽  
Digital Storage Oscilloscope ◽  
The One

Skin is the one of the most important organ present in our body that does some of the important functions like protection, temperature regulation etc. Due to some conditions, skin is affected by many abnormalities. The abnormalities may be smaller or larger, which depends on the damage caused to the skin. Some abnormalities of skin are irritations, allergic reactions, swelling etc. One of the most major problems that affect the skin completely is of skin cancer. Skin cancer is the most common type of cancer that affects the 40% of people in all over world. It may be caused due to several factors like genetic, working in hazardous chemical areas, exposure to sun, repeated X-ray exposures etc. All of these factors affects the skin and causes skin cancer. Skin biopsy is a major technique used at present to detect all types of skin cancers. As this biopsy method is invasive, and takes more time to check the cancer tissue, we are using this optical method for detection of skin cancer. Optical imaging is the upcoming technology that plays the major role in all fields. In this method Near Infra-Red (NIR) light source is passed into the affected skin region. The transimpedance amplifier is used to amplify the output from photodiodes. Then the output from the photodiodes is connected to the Digital Storage Oscilloscope (DSO) in which the waveform shows the variations due to skin cancer.

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