The Design of High Accuracy Pedometer Based on an Adaptive and Dynamic Low-Pass Filtering Algorithm

2019 ◽  
pp. 55-62
Author(s):  
Deng Xu ◽  
Baohua Yang
Keyword(s):  
High Accuracy ◽  
Filtering Algorithm ◽  
Low Pass

scholarly journals Pixelated Carrier Phase-Shifting Shearography Using Spatiotemporal Low-Pass Filtering Algorithm

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5185
Author(s):  
Peizheng Yan ◽  
Xiangwei Liu ◽  
Shuangle Wu ◽  
Fangyuan Sun ◽  
Qihan Zhao ◽  
...  
Keyword(s):  
Carrier Phase ◽  
Speckle Noise ◽  
Phase Shifting ◽  
Destructive Testing ◽  
Full Field ◽  
Filtering Algorithm ◽  
Real Time Measurement ◽  
Low Pass ◽  
Carrier Phase Shifting ◽  
Non Destructive

Shearography has been widely used in non-destructive testing due to its advantages in providing full-field, high precision, real-time measurement. The study presents a pixelated carrier phase-shifting shearography using a pixelated micropolarizer array. Based on the shearography, a series of shearograms are captured and phase maps corresponding to deformation are measured dynamically and continuously. Using the proposed spatiotemporal filtering algorithm in the complex domain, the set of phase maps are simultaneously low-pass filtered in the spatial and temporal domains, resulting in better phase quality than spatial low-pass filtering. By accumulating the temporally adjacent phase, the phase corresponding to large deformation can be evaluated; thus, large deformations can be accurately measured and protected from speckle noise, allowing internal defects to be easily identified. The capability of the proposed shearography is described by theoretical discussions and experiments.

CAN DISSIMILAR USERS CONTRIBUTE TO ACCURACY AND DIVERSITY OF PERSONALIZED RECOMMENDATION?

2010 ◽  
Vol 21 (10) ◽  
pp. 1217-1227 ◽  
Author(s):  
WEI ZENG ◽  
MING-SHENG SHANG ◽  
QIAN-MING ZHANG ◽  
LINYUAN LÜ ◽  
TAO ZHOU
Keyword(s):  
Collaborative Filtering ◽  
Recommender System ◽  
High Accuracy ◽  
Personalized Recommendation ◽  
Recommendation Algorithm ◽  
Filtering Algorithm ◽  
Recommendation Algorithms ◽  
Collaborative Filtering Algorithm ◽  
High Diversity ◽  
Better Than

Recommender systems are becoming a popular and important set of personalization techniques that assist individual users with navigating through the rapidly growing amount of information. A good recommender system should be able to not only find out the objects preferred by users, but also help users in discovering their personalized tastes. The former corresponds to high accuracy of the recommendation, while the latter to high diversity. A big challenge is to design an algorithm that provides both highly accurate and diverse recommendation. Traditional recommendation algorithms only take into account the contributions of similar users, thus, they tend to recommend popular items for users ignoring the diversity of recommendations. In this paper, we propose a recommendation algorithm by considering both the effects of similar and dissimilar users under the framework of collaborative filtering. Extensive analyses on three datasets, namely MovieLens, Netflix and Amazon, show that our method performs much better than the standard collaborative filtering algorithm for both accuracy and diversity.

LICENSE-PLATE RECOGNITION USING DWT AND NEURAL NETWORK

2006 ◽  
Vol 04 (04) ◽  
pp. 601-615 ◽  
Author(s):  
TIAN-DING CHEN
Keyword(s):  
Neural Network ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
High Accuracy ◽  
Discrete Wavelet ◽  
License Plate ◽  
License Plate Recognition ◽  
Structure Modification ◽  
New Approach ◽  
Low Pass

This paper presents a new approach for license-plate recognition using Discrete Wavelet Transform (DWT) and Plastic Perception Neural Network (PPNN). It accomplishes the preliminary license-plate localization by applying low-pass wavelet coefficients. Since the amount of data reduces to 1/4, this approach saves a lot of running time, simplifies computational complexity, and economizes memory usage. It adopts the LL and HH sub-bands, which come from a two-dimensional Haar DWT to implement the localization and segmentation for license plates. The proposed methodology provides high accuracy for locating a license plate from an image, and has a high tolerance for license plate displacement in the images. Back-Propagation Neural Network (BPNN) has the advantage of anti-noise and anti-distortion, but the problems of traditional BPNN are a longer learning period, iterations are not prone to convergence, and local minimum. The proposed methods combine the parallel distributive process concept with the BPNN structure modification to solve the above problems. This paper also utilizes PPNN to solve taking position, scale and rotation of the license-plate recognition.

Research of Quantitative Analyzer for Fluorescence Immune Chromatography Strips

2013 ◽  
Vol 373-375 ◽  
pp. 1000-1006
Author(s):  
Xiao Ting Li ◽  
Kai Jiang ◽  
Ping Wang
Keyword(s):  
Least Square Method ◽  
High Accuracy ◽  
Least Square ◽  
Good Prospect ◽  
Fluorescence Immunoassay ◽  
Response Characteristics ◽  
Photoelectric Detection ◽  
Detection Technology ◽  
Relative Standard ◽  
Low Pass

Fluorescence immunoassay technology is widely recognized as the most sensitive detection technology, now widely used in clinical testing. The research of quantitative analyzer for fluorescence immune chromatography strips is of great significance. In this thesis, a quantitative analyzer for fluorescence immune chromatography strips has realized, based on photoelectric detection principle and immunochromatographic. The system uses LPC1788 and MSP430 as processors. Using some algorithms such as low-pass filtering, least square method and area method to analyze the detected waveform and eliminate noise with high accuracy. In our experiment, the minimum detection concentration is at several mIU/ml levels, the relative standard deviation is less than 2% and it has good linear response characteristics in a concentration range from 0.5125 to 952mIU/ml while the correlation coefficient R2 is 0.981. The instrument has a good prospect.

scholarly journals PROJETO E IMPLEMENTAÇÃO DE FILTRO DE KALMAN EMBARCADO EM FPGA PARA O RASTREIO DE FOGUETES BALÍSTICOS

2014 ◽  
pp. 149
Author(s):  
Madson Cruz Machado ◽  
João Viana da Fonseca Neto ◽  
José Alano Peres Abreu
Keyword(s):  
Kalman Filter ◽  
Real Data ◽  
Field Programmable Gate Arrays ◽  
High Accuracy ◽  
Programmable Logic ◽  
Logic Device ◽  
Filtering Algorithm ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

Neste trabalho faz-se uma abordagem acerca do fiiltro de Kalman no que tange a sua concep-ção, modelamento matemático, algoritmo de fiiltragem e implementação em FPGA (Field Programmable Gate Arrays). Faz-se também um breve estudo sobre o dispositivo lógico programável (PLD) do tipo FPGA, sua arquitetura e suas aplicações. Após o estudo acerca do fiiltro de Kalman e sobre FPGA pas-sa-se para a etapa de embarcar o fiiltro em hardware do tipo FPGA explorando as suas características de processamento paralelo. A etapa fiinal é a validação do fiiltro executando o algoritmo de fiiltragem em FPGA usando dados reais de lançamento de foguetes balísticos. Os dados foram fornecidos pelo Centro de Lançamento de Alcântara (CLA). A principal contribuição deste trabalho é a implementação de uma arquitetura FPGA reconfigurável, garantindo uma plataforma rápida o suficiente para radares com alta precisão e boa capacidade de rastreamento de foguetes.Palavras-chave: Filtro de Kalman. FPGA. Lançamento de foguete. Filtragem.DESIGN AND IMPLEMENTATION OF KALMAN FILTER EMBEDDED IN FPGA FOR TRACKING OF BALLISTIC ROCKETABSTRACT: This work is an approach about the Kalman filter with respect to its design, mathematical modeling, filtering algorithm and implementation in FPGA (Field Programmable Gate Arrays). Also make a brief study on the programmable logic device (PLD) type FPGA, its architecture and its applications. After the study of the Kalman filter on FPGA and passes to the step of embedded on the filter in FPGA type hardware exploring its features parallel processing. The final step is to validate the filter running filtering algorithm in FPGA using real data from launching ballistic rockets. The data were provided by the Alcan-tara Launch Center (CLA). The main contribution of this work is the implementation of a reconfigurable FPGA architecture, ensuring fast enough to radar platform with high accuracy and good tracking capability rockets.KEYWORDS: Kalman filter. FPGA. Rocket launching. Filtering.DISEÑO E IMPLEMENTACIÓN DE FILTRO KALMAN EMBARCARON EN FPGA PARA DETECCIÓN DE ROCKET BALLISTICRESUMEN: Este trabajo es un enfoque sobre el filtro de Kalman con respecto a su diseño, el modelado matemático y la implementación algoritmo de filtrado en FPGA (Field Programmable Gate Arrays). Tambi-én hace un breve estudio sobre el dispositivo lógico programable (PLD) tipo FPGA, su arquitectura y sus aplicaciones. Tras el estudio del filtro de Kalman en FPGA pasa a la etapa de embarcarse en la FPGA hardware tipo de filtro explorar sus características de procesamiento paralelo. El último paso es validar el filtro funcionando algoritmo de filtrado en FPGA utilizando datos reales de lanzamiento de cohetes balísti-cos. Los datos fueron proporcionados por el Centro de Lanzamiento de Alcántara (CLA). La principal con-tribución de este trabajo es la implementación de una arquitectura FPGA reconfigurable, asegurando la suficiente rapidez a la plataforma de radar con alta precisión y buenos cohetes capacidad de seguimiento.PALABRAS CLAVE: Filtro de Kalman. FPGA. Cohete de lanzamiento. El filtrado.

Optimization Algorithm Analysis for FIR Filter by FPGA

2013 ◽  
Vol 373-375 ◽  
pp. 1269-1273 ◽  
Author(s):  
Zhao Jun Shen ◽  
Sen Xu
Keyword(s):  
Filter Design ◽  
High Accuracy ◽  
Fir Filter ◽  
Algorithm Analysis ◽  
Partial Functions ◽  
Optimization Scheme ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Scheme Design ◽  
Low Pass

The article introduces essential method to realize the high accuracy and velocity FIR filter by FPGA. Proposes the FIR filter optimization scheme design of serial shifts based on FPGA. Avoided the shortcoming of the traditional parallel algorithm module taking the massive hardware resources . And give 11-order and 8-bits low pass filter design as the specific research object. Realized the partial functions which the traditional numeral FIR filter cannot.May adjusts the filter exponent number conveniently and suits different application.

Design of Fast Second-Order IIR Low-Pass Filter Based on Parameter Optimization

2014 ◽  
Vol 644-650 ◽  
pp. 4382-4386 ◽  
Author(s):  
Qi Rui Li ◽  
Ming Ming Jiang ◽  
Bing Luo ◽  
Xiao Ping Hu ◽  
Kang Hua Tang
Keyword(s):  
Operation Time ◽  
Digital Signal ◽  
Second Order ◽  
Filter Coefficient ◽  
Matlab Simulation ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Filtering Algorithm ◽  
Low Pass ◽  
Fast Filter

Second-order IIR low-pass filter is widely used in digital signal processing. A fast filter algorithm without multiplication is proposed for it in this paper. A configuration method for the filter coefficient of fast algorithm is put forward, considering the characteristic of second-order IIR low-pass filter coefficient and the filter’s mathematical model. A performance analysis of fast second-order IIR low-pass filter without multiplication is shown in the paper, and the performance of the fast filter is shown by example using MATLAB simulation. What’s more, the algorithm’s rapidity is verified by an implementation of the filter on FPGA, which turns out that fast filtering algorithm takes only 54.7% of common algorithm’s operation time to realize the same filer function.

A Design for Clock Synchronization Using CPPLL

2014 ◽  
Vol 543-547 ◽  
pp. 558-561 ◽  
Author(s):  
Xiao Wang ◽  
Zhi Bin Zeng
Keyword(s):  
High Performance ◽  
High Stability ◽  
Clock Synchronization ◽  
High Accuracy ◽  
Output Frequency ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Synchronization System ◽  
Low Pass ◽  
Reference Clock

High performance clock synchronization system is essential in communication transmission, which is based on the principle of phase locked loop synchronization that tracking a high accuracy, high stability reference clock source usinh low-pass filter to turn the value into voltage and to control VCO or VXCO and makes the output frequency and the input frequency to maintain strict synchronization.

scholarly journals Perception and Production of Lexical Tones by 3-Year-Old, Mandarin-Speaking Children

2005 ◽  
Vol 48 (5) ◽  
pp. 1065-1079 ◽  
Author(s):  
Puisan Wong ◽  
Richard G. Schwartz ◽  
James J. Jenkins
Keyword(s):  
Picture Naming ◽  
High Accuracy ◽  
Lexical Tones ◽  
Tone Production ◽  
Tone Perception ◽  
Pointing Task ◽  
Monosyllabic Words ◽  
Low Pass ◽  
Reading Activity ◽  
Filtered Speech

The present study investigated 3-year-old children's perception and production of Mandarin lexical tones in monosyllabic words. Thirteen 3-year-old, Mandarin-speaking children participated in the study. Tone perception was examined by a picture-pointing task, and tone production was investigated by picture naming. To compare children's productions with the adult forms, 4 mothers of the children were asked to say the same set of words to their children in a picture-reading activity. The children's and mothers' productions were low-pass filtered at 500 Hz and 400 Hz, respectively, to eliminate segmental information. Ten Mandarin-speaking judges identified the productions of tones from the filtered speech. Adult productions were more accurately identified than productions of the children. The children perceived the level, rising, and falling tones with relatively high accuracy. The dipping tone posed the greatest difficulty for the children in both perception and production.

Sign in / Sign up

Export Citation Format

Share Document