A Virtual Laboratory for Digital Signal Processing

2008 ◽  
pp. 474-487
Author(s):  
Chyi-Ren Dow ◽  
Yi-Hsung Li ◽  
Jin-Yu Bai
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Mobile Agent ◽  
Source Code ◽  
Digital Signal ◽  
Experimental Results ◽  
Positive Feedbacks ◽  
Network Bandwidth ◽  
Network Capability ◽  
Java Native Interface

This work designs and implements a virtual digital signal processing laboratory, VDSPL. VDSPL consists of four parts: mobile agent execution environments, mobile agents, DSP development software, and DSP experimental platforms. The network capability of VDSPL is created by using mobile agent and wrapper techniques without modifying the source code of the original programs. VDSPL provides human-human and human-computer interaction for students and teachers, and it can also lighten the loading of teachers, increase the learning result of students, and improve the usage of network bandwidth. A prototype of VDSPL has been implemented by using the IBM Aglet system and Java Native Interface for DSP experimental platforms. Also, experimental results demonstrate that our system has received many positive feedbacks from both students and teachers.

A Virtual Laboratory for Digital Signal Processing

2007 ◽  
pp. 171-188
Author(s):  
Chyi-Ren Dow ◽  
Yi-Hsung Li ◽  
Jin-Yu Bai
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Mobile Agent ◽  
Source Code ◽  
Digital Signal ◽  
Experimental Results ◽  
Positive Feedbacks ◽  
Network Bandwidth ◽  
Network Capability ◽  
Java Native Interface

This work designs and implements a virtual digital signal processing laboratory, VDSPL. VDSPL consists of four parts: mobile agent execution environments, mobile agents, DSP development software, and DSP experimental platforms. The network capability of VDSPL is created by using mobile agent and wrapper techniques without modifying the source code of the original programs. VDSPL provides human-human and human-computer interaction for students and teachers, and it can also lighten the loading of teachers, increase the learning result of students, and improve the usage of network bandwidth. A prototype of VDSPL has been implemented by using the IBM Aglet system and Java Native Interface for DSP experimental platforms. Also, experimental results demonstrate that our system has received many positive feedbacks from both students and teachers.

A Virtual Laboratory for Digital Signal Processing

2011 ◽  
pp. 180-193
Author(s):  
Chyi-Ren Dow ◽  
Yi-Hsung Li ◽  
Jin-Yu Bai
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Mobile Agent ◽  
Source Code ◽  
Digital Signal ◽  
Positive Feedbacks ◽  
Network Bandwidth ◽  
Load Increase ◽  
Network Capability ◽  
Java Native Interface

This work designs and implements a virtual digital signal processing laboratory (VDSPL). VDSPL consists of four parts: mobile agent execution environments, mobile agents, DSP development software, and DSP experimental platforms. The network capability of VDSPL is created by using mobile agent and wrapper techniques without modifying the source code of the original programs. VDSPL provides human-human and human-computer interaction for students and teachers, and it also can lighten the teacher’s load, increase the learning result of students, and improve the usage of network bandwidth. A prototype of VDSPL has been implemented by using the IBM Aglet system and Java Native Interface for DSP experimental platforms. Also, experimental results demonstrate that our system has received many positive feedbacks from both students and teachers.

scholarly journals Wave File Features Extraction using Reduced LBP

2018 ◽  
Vol 8 (5) ◽  
pp. 2780
Author(s):  
Aws Al-Qaisi ◽  
Saleh A. Khawatreh ◽  
Ahmad A. Sharadqah ◽  
Ziad A. Alqadi
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Local Binary Patterns ◽  
Features Extraction ◽  
Experimental Results ◽  
Novel Approach

<p>In this work, we present a novel approach for extracting features of a digital wave file. This approach will be presented, implemented and tested. A signature or a key to any wave file will be created.  This signature will be reduced to minimize the efforts of digital signal processing applications. Hence, the features array can be used as key to recover a wave file from a database consisting of several wave files using reduced Local binary patterns (RLBP). Experimental results are presented and show that The proposed RLBP method is at least 3 times faster than CSLBP method, which mean that the proposed method is more efficient.</p>

scholarly journals Practical realizations of optimized adaptive digital signal processing solutions implemented in preset time count rate meters

2005 ◽  
Vol 18 (3) ◽  
pp. 559-570
Author(s):  
Aleksandar Zigic ◽  
Vojislav Arandjelovic ◽  
Ðordje Saponjic ◽  
Ivana Veselinovic
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Count Rate ◽  
Experimental Validation ◽  
Digital Signal ◽  
Digital Signal Processors ◽  
Experimental Results ◽  
Theoretical Predictions ◽  
Preset Time ◽  
Signal Processors

Two optimized adaptive digital signal processors were implemented to the preset time count rate meters. Three mean count rate meters, based on the developed adaptive digital signal processors, were realized and were used for experimental validation of proposed adaptive digital signal processors. The experimental results, conducted without and with radioisotope for the specified errors of 10% and 5%, showed to agree well with theoretical predictions.

Sign in / Sign up

Export Citation Format

Share Document