The Filtering Character of Hilbert-Huang Transform and Its Application

Hilbert-Huang transform(HHT) is a new two-step time-frequency analytic method to analyze the nonlinear and non-stationary signal. The key step of this method is empirical mode decomposition(EMD) method with which any complicated data set can be decompose into a finite and often small number of intrinsic mode functions(IMF). Using Hilbert transform to those IMF components can yield instantaneous frequency, the final presentation of this results is a energy frequency-time distribution, designated as the Hilbert spectrum. Examples from the numerical results of signal de-noising are given to demonstrate the power of this new method, those results can clarity the advance and efficient of this method.     

Simulation of nonstationary stochastic earthquake ground motion based on orthogonal Hilbert spectrum

A new method is proposed for the simulation of nonstationary stochastic earthquake ground motion based on orthogonal Hilbert-Huang transform (OHHT) spectra of its sample observations. Orthogonal EMD method is introduced to treat with IMF. OHHT avoids leakage of energy compared with conventional HHT, and it can be used for analysis of nonstationary signal. The average of the Hilbert spectra over the samples is defined as the Hilbert spectrum of the earthquake motion process and used as the target in the simulation of the process. Random Phase is also introduced to simulate nonstationary earthquake. The statistic characteristics function of stochastic process is given in the paper. Simulations of two earthquake ground motion are carried out. The results show that the samples can accurately reflect amplitude and frequency nonstationary of records. Samples and record of same earthquake ground motion process have same statistic characteristics.     

Virtual Sound Intensity Analyzer

The Virtual Sound Intensity Analyzer is a new instrument which has more advantages than the traditional Sound Analyzer. This Analyzer is based on fast Fourie transformation and virtual instrument technique.As an application, combining software and hardware, all kinds of weight noise sound level measurement and real-time noise octave analyzes realized synchronously. The design method has been introduced from three ways, which includes hardware, software and panel. An applied example and error analyze of Virtual Sound Intensity Analyzer are given.This Analyzer is low cost, small volume. and it is also easy to operate. It can be widely used in actual applications.     

A Numerical Algorithms of Fractional Fourier Transform

Signal and it's Fourier transform can reflect the info of time domain and frequence domain independently. As a usually math tool, Fourier transform is using in math, physical and engineering field widely. A new tool for signal analysis,which is named Fractional Fourier transform(FRFT), is introduced. It is interpreted in view of the classic Fourier transform. It is important to study the numerical algorithms of FRFT, because usually the FRFT can not be given to a analytical expression. A numerical algorithms of FRFT is given. It is possible to separate the distortion from the simple Gaussian signal on which a chirp distortion has been superimposed by using fractional transform.     

EEG Signal Denoising Based on Wavelet Transform

The article focuses on the method of noise cancellation for EEG signal. The method of notch filter is discussed. According to the frequency of noise and the principle of notch filter, the design result of the notch filter and the denoised signal are presented. Then, the analysis of EEG signal are proposed based on wavelet transform (WT) and noise cancellation using WT. Wavelet transform is a multi-resolution time-frequency analysis method. It can decompose mixed signal into signals at different frequency bands. The EEG signal is analyzed and denoised using WT, then the results are presented respectively. Comparing the experiment results shows that WT can detect and process noise in the EEG signal effectively.     

Virtual FFT Spectrum Analyzer Based on DSP Technology

Virtual Instrument has become an important direction of instrument development, now it has been widely used in many fields. FFT analysis is a widely used method in mechanical engineering, fault detection and many other fields. However, the traditional FFT analyzer is expensive and is not easy to upgraded. The birth of virtual FFT Spectrum Analyzer gets rid of the limit of traditional FFT analyzer, and paves the way for the application of FFT analyzer. The uses of DSP technology make the future broadened of Virtual Instrument. This article ,based on the deep study of DSP system, designs a virtual FFT Spectrum analyzer based on DSP technology. The design is new and of great practicality, which indicates the important role of Virtual Instrument in the development of instruments.     

A Kind of Hardware Realization Method of Solid State Image Sensor Signal Equidistance Subdivision

Basing on the sampling and recovery theorem, this paper investigates the principle of equidistance subdivision for image sensor export signal by hardware circuit.The mechanism of the hardware equidistant subdivision and the function of the image sensor are analyzed, and the circuit diagram of the hardware equidistant subdivision is given with the export signal of the image sensor. Based this, the simulated experiment is a testing of the laser diffraction pattern by electronic CAD PSpice software. This simulated experiment shows that the method with the hardware equidistant subdivision can improve highly its measured accuracy (especially the device of low bit and big central distance), in Laser diffraction measure fine wire diameters, so this experiment can prove its true of the theoretical analysis. This method also eliminates nonuniformity of the device, to large extent, by low pass filter.     

Application limitation of the Hilbert Huang transform to earthquake ground motion analysis

We presented herein detailed comparison between emulational and real earthquake signals. Intrinsic Mode Functions (IMF) were regarded as products of the empirical mode decomposition (EMD) during Hilbert Huang transform (HHT) processing. This could be ascribed primarily to the failure of separating the correct frequency from mixed and similar frequency components. It was difficult to remove IMF signal from the earthquake record and to obtain correct earthquake energy distribution in frequency. Furthermore, The Hilbert transform sometimes induced erroneous instantaneous frequencies. Thus, care must be taken in the application of HHT in earthquake engineering. The combination of the Hilbert transform with wavelet transform could produce better analysis of earthquake record.     

Error Analysis and Modification of Virtual Instrument System

The errors of each parts of virtual instrument system, which are produced in the signals transfer process, are introduced. These errors include sensor error, signal conditioning error, data acquisition error and data dealing error, etc. The main error can be found by analyzing the influence of these errors on different virtual instrument system. The methods of errors modification are also discussed. It's an effective method that modifying system errors, especially nonlinear errors, by software. At last, as a good example, the error analysis and modification of Virtual Noise Analysis Instrument is given.     

Virtual Instrument Technology and Its Application in Humidity Testing

In recent years,Virtual Instrument technology has been concerned in the arena of information technology and instrument manufacture.The authors propose the Virtual Instrument's concept,characteristics and configuration of both hardware and software.They apply Virtual Instrument to the humidity testing and brings forward the method to solute the problem,which traditional dry-humid balls humidity-testing instrument can not test several objects.By putting the emphasis on data acquisition,data processing,data storage and data display,the software design of virtual humidity test is discussed.     

Great Capacity of Data Logger Based on Virtual Instrument Technology

The Data Logger is an important secondary-instrument,which can be applied to automatic monitor and control system,and high speed local data acquisition for later analysis.The Virtual Great Capacity of Data Logger based on virtual instrument technology is a new instrument which has more advantages than the traditional Data Logger.The design method has been introduced from three ways,which includes system principle, hardware configuration and programming design, and an application example is given.This Data Logger is low cost,easy to take,also easy to operate.It can be widely used in many of actual applications.     

Twist and Rotate Speed Measurement Oriented Virtual Instrument Based on Qin''s Model

The paper introduces concepts and the general idea of Intelligent Virtual Controls based on Qin's Model,and advances a new instrumental mode ,that is Virtual Intelligent Twist and Rotate Speed Measurer ,which can be used in measuring the frequently used physical parameters in the rotate mechanical systems ,including twist ,rotate speed ,power and the axes-oriented force. The three-layered hiberarchy ,including the interface layer ,the testing and service layer and the hardware driving layer, is brought forward to design the Virtual Intelligent Twist and Rotate Speed Measurer ,which is a new creative method .In the hiberarchy, the lower layers provide the service and support to the upper ones, and the upper layers realize the functions of instruments with call-back of the lower ones .In the framework the three ones divide the work and cooperate well. An Virtual Instrument based on IVC-based-VI is successfully developed which is used in the twist and rotate speed measurement of the mechanical area.     

基于Quest3D的虚拟园林漫游系统的设计与实现

摘要：目前,虚拟现实技术在园林中的应用尚处于探索时期,但随着计算机软硬件水平的提高和可视化技术的不断发展更新,虚拟现实技术在园林中应用的领域逐渐广阔,对园林设计的影响也越来越大。本文以一个城市广场的园林设计为例,结合Quest3D技术制作开发了一个园林漫游展示系统。介绍了园林漫游展示系统的设计过程,研究了园林场景的建模、植物和水体模型的控制、光照和阴影设置、摄像机设置等问题。探讨了Quest3D技术在园林设计中的应用,研究了园林交互展示的相关技术,总结了构建园林漫游展示系统的方法和过程,为园林设计的展示提供一种有效的方法和途径。     

A New Car Lighting and Signals Control System Based on Optical Fiber Communication

The control signals of conventional car lighting and signal control system which is not possess self-diagnosing function are transmitted via special wiring harness, with which the drivers are not able to discover a trouble and an accident may be occur when car running. To solve the problem, a new control system based on optical fiber communication is proposed. Its fundamental control function, self-diagnosing function, hardware designing and software developing are introduced.     

Application of Wavelet Transform to De-noising Method

The wavelet transform is a new subject developed quickly in the past ten years. Compared with the Fourier transform, the wavelet transform is a part of time-frequency transform. The most important character is that it can be used to transform a signal into basic units at different scales and location, each unit represents a component of original signal difference from others. The wavelet transform has been proven to be a powerful and efficient tool for processing signal due to this character. This paper introduces the de-noising principles of the wavelet transform. It is proved to be an effective method by the simulating analysis.     

Hilbert-Huang transform and denoising for partial discharge ultrsonic singals of large motor

Empirical mode decomposition (EMD) algorithm is introduded as the core of the Hilbert-huang transform (HHT), and implementation process of EMD is analyzed. Then data compression denoising algorithm based on EMD is proposed, simulation and experimental signals are used for verification of the effect of EMD. In the same data sources, the comparison of data compression denoising approaches based on the EMD, db2 wavelet and db8 wavelet are conducted. In addition, physical experiment of the same analysis and comparisons are conducted on a running motor in a Chongqing electrical plant. Simulation and experimental results show that data compression denoising algorithm based on EMD can achieve the same denoising effect, or even better than based on db2 wavelet, db8 wavelet. The former is more perfect than the latter in the real signal processing, and denoising based on EMD is not loss of the original signal energy.     

ZOOM FFT Technology Based on Analytic Signal and Band Pass Filter

This paper deals on the method of ZOOM FFT based on analytic signal and band pass filter, which is different from other methods of ZOOM FFT. It is used on computer with larger zoom ratio; higher compute speed and so on than other ways for offline testing. It provides a new method for the development of Virtual Instruments on ZOOM FFT analysis.     

鸡蛋质量自动分拣设备控制系统设计

设计了基于PLC技术的鸡蛋质量自动分拣设备的硬件系统和软件系统,阐述了设备的工作原理、总体结构及工作过程。该设备能够完成鸡蛋的自动分级、品质检测和计数功能,具有快速、准确和应用范围广等特点,实现了鸡蛋的在线检测和分级自动化。     

Application of the Wavelet Transform to the Pulse Signal Analysis of Druggers

According to the randomness of human pulse signals,the multiresolution analysis of the wavelet transform is used to analyze such signals.Its purpose is to extract the abnormal information from the pulse signals of heroin druggers and to obtain the primary judgment criterion which can be used to identify druggers from healthy persons.The scale spectrum based on the wavelet transform of pulse signals carries the important characteristic information of the health situation of human body.The pulse signals of 15 heroin druggers and 15 healthy persons are analyzed and the scale spectrum and the total signal energy of every signal are extracted.It is found that the ratio between the sum(i.e.,scale-wavelet energy) of the scale spectrum in a specific scale-time region and the total signal energy for heroin druggers is generally higher than that of healthy persons.Using the percentage of the ratio between the scale-wavelet energy in the specific scale-time region and the total signal energy as characteristic parameter,a critical parameter is determined that is used to classify heroin druggers and healthy persons.Thus,all of the 15 healthy persons are identified correctly from 30 subjects.Only two heroin persons are misjudged.The experiment results of classification show that the method presented is feasible and effective for detecting the pulse abnormalities of heroin druggers.     

Suppression of Periodic Narrowband Interferences in Cable Partial Discharge Detections

There are background noises and interferences in the signal acquired,due to partial discharge(PD) detection system covers a broad frequency band.To suppress periodic narrowband signal which is a quite serious interference in PD measurement,the existing suppression method is introduced,the new method of wavelet packet transform is mainly studied to de-noise the periodic narrowband in XLPE cable PD detection system,which is based on the db4 basic wavelet using soft threshold.The results of the experiment show that wavelet packet transform is effective in restraining the periodic narrowband interferences to extract the PD pulses in XLPE cable PD monitoring system.