Experimental results from a smart pixel implementation of the wavelet transformation for signal processing

1998 ◽  
Author(s):  
Dirk A. Hall ◽  
Barry L. Shoop ◽  
Robert W. Sadowski ◽  
Andre H. Sayles ◽  
Glen P. Dudevoir ◽  
...  
Keyword(s):  
Signal Processing ◽  
Wavelet Transformation ◽  
Experimental Results ◽  
Smart Pixel

Smart pixel-based wavelet transformation for wideband radar and sonar signal processing

1997 ◽  
Author(s):  
Barry L. Shoop ◽  
Andre H. Sayles ◽  
Glen P. Dudevoir ◽  
Dirk A. Hall ◽  
Daniel M. Litynski ◽  
...  
Keyword(s):  
Signal Processing ◽  
Wavelet Transformation ◽  
Sonar Signal Processing ◽  
Smart Pixel ◽  
Wideband Radar

Steganographic Method with High Visual Concealment in Wavelet Domain

2013 ◽  
Vol 281 ◽  
pp. 47-50
Author(s):  
Zhi Hong Chen
Keyword(s):  
Wavelet Transformation ◽  
Experimental Results ◽  
Wavelet Domain ◽  
Wavelet Coefficients ◽  
Local Neighborhood ◽  
The Impact

In this paper we propose a new steganographic method, which based on wet paper codes and wavelet transformation. The method is designed to embed secret messages in images' wavelet coefficients and depends on images' texture characters in local neighborhood. The receivers can extract secret bits from carrier images only by some matrix multiplications without knowing the formulas written by senders, which further improves steganographic security and minimizes the impact of embedding changes. The experimental results show that our proposed method has good robust and visual concealment performance and proves out it's a practical steganographic algorithm.

scholarly journals A Generalized Method for Flat Plates Impact Detection and Location

2013 ◽  
Vol 543 ◽  
pp. 171-175
Author(s):  
Jose Andrés Somolinos ◽  
Rafael Morales ◽  
Carlos Morón ◽  
Alfonso Garcia
Keyword(s):  
Signal Processing ◽  
Flat Plate ◽  
Acoustic Signal ◽  
Experimental Results ◽  
Piezoelectric Sensors ◽  
Experimental Setup ◽  
Flat Plates ◽  
Impact Detection ◽  
Timing Difference

In the last years, many analyses from acoustic signal processing have been used for different applications. In most cases, these sensor systems are based on the determination of times of flight for signals from every transducer. This paper presents a flat plate generalization method for impact detection and location over linear links or bars-based structures. The use of three piezoelectric sensors allow to achieve the position and impact time while the use of additional sensors lets cover a larger area of detection and avoid wrong timing difference measurements. An experimental setup and some experimental results are briefly presented.

Smart pixel camera based signal processing in an interferometric test station for massive parallel inspection of MEMS and MOEMS

2010 ◽  
Author(s):  
Adam Styk ◽  
Patrick Lambelet ◽  
Arne Røyset ◽  
Małgorzata Kujawińska ◽  
Kay Gastinger
Keyword(s):  
Signal Processing ◽  
Smart Pixel

The Design and Implementation of Parallel Distributed Algorithm FIR Filter Based on FPGA

2012 ◽  
Vol 571 ◽  
pp. 534-537
Author(s):  
Bao Feng Zhang ◽  
De Hu Man ◽  
Jun Chao Zhu
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Distributed Algorithm ◽  
Design Method ◽  
Fir Filter ◽  
Experimental Results ◽  
Linear Phase ◽  
Design And Implementation ◽  
Field Programmable

The article proposed a new method for implementing linear phase FIR filter based on FPGA. For the key to implementing the FIR filter on FPGA—multiply-add operation, a parallel distributed algorithm was presented, which is based on LUT. The designed file was described with VHDL and realized on Altera’s field programmable gate array (FPGA), giving the design method. The experimental results indicated that the system can run stably at 120MHz or more, which can meet the requirements of signal processing for real-time.

Experimental Robot Identification: Advantages of Combining Internal and External Measurements and of Using Periodic Excitation

2001 ◽  
Vol 123 (4) ◽  
pp. 630-636 ◽  
Author(s):  
Walter Verdonck ◽  
Jan Swevers ◽  
Jean-Claude Samin
Keyword(s):  
Signal Processing ◽  
Parameter Estimation ◽  
Effective Means ◽  
Base Plate ◽  
Experimental Results ◽  
Parameter Estimates ◽  
Periodic Excitation ◽  
Identification Method ◽  
Reaction Forces ◽  
Improved Model

This paper discusses the advantages of using periodic excitation and of combining internal and external measurements in experimental robot identification. This discussion is based on the robot identification method developed by Swevers et al., a method that is recognized by industry as an effective means of robot identification that is frequently used, Hirzinger, G., Fischer, M., Brunner, B., Koeppe, R., Otter, M., Grebenstein, M., and Schafer, I, 1999, “Advances is Robotics: The DLR Experiment,” The International Journal of Robotics Research, Vol. 18, No. 11, pp. 1064–1087 [3]. Experimental results on a KUKA IR 361 show that the periodicity of the robot excitation is a key element of this method. Nonperiodic robot excitation complicates the signal processing preceding the parameter estimation, often yielding less accurate parameter estimates. An extension of this identification method combines internal and external measurements, Chenut, X., Samin, J. C., Swevers, J., and Ganseman, C., 2000, “Combining Internal and External robot Models for improved Model Parameter Estimation,” Mechanical Systems and Signal Processing. Vol. 14, No. 5, pp. 691–704 [4], yielding robot models that allow to accurately predict the actuator torques and the reaction forces/torques of the robot on its base plate, which are both important for the path planning. This paper presents and critically discusses the first experimental results obtained with this method.

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.

Integration of a Signal Processing and Control ASIC With the JPL Micro-Gyroscope

2002 ◽  
Author(s):  
Yen-Cheng Chen ◽  
Robert M’Closkey ◽  
Tuan Tran ◽  
Brent Blaes
Keyword(s):  
Signal Processing ◽  
Experimental Results ◽  
Control Architecture ◽  
Flexible Control ◽  
Rate Sensor ◽  
And Control ◽  
Flexible Control Architecture

This paper describes the integration of a vibratory rate sensor—the JPL microgyro—with a special purpose control ASIC developed at UCLA. The digital ASIC has a flexible control architecture that can be customized for individual sensors. We describe this process for one sensor prototype and include experimental results demonstrating the efficacy of the ASIC.

Research on False Points Removing of Speech Segmentation

2014 ◽  
Vol 536-537 ◽  
pp. 136-140
Author(s):  
Chong Wang ◽  
Jun Feng Zhao ◽  
Rong Huang
Keyword(s):  
Signal Processing ◽  
Speech Signal ◽  
Wavelet Transformation ◽  
Low Frequency ◽  
Frequency Component ◽  
Speech Segmentation ◽  
Speech Signal Processing ◽  
Front End ◽  
Cumulate Energy

In speech signal processing, the techniques of speech segmentation as front end of preprocessing have great importance in speech enhancing, coding and recognition. This paper analyzes the performances of several typical algorithms of speech segmentation, which are compared with each other. It put emphasis on the study of the algorithm based on the wavelet transformation. The smooth and gradual changing low frequency component can not segment the speech efficiently. In order to solve the problem, this paper put forward to an algorithm based on the cumulate energy of the wavelet transformation which promotes the precision of the segmentation on the phoneme level. But as a result of the wavelet sensitivity, it will present certain number of false spots. Therefore this paper proposes tow methods removing false spots. Finally it makes certain summary to these technologies.

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