Description: 我国是世界上小麦种植面积最大和消费最高的国家之一。小麦为国际主粮之一，也是食品工业的重要原料。作为最重要粮食品种之一的小麦，其价值与用途取决于它的品质。因此，基于信号处理技术，研究客观、便捷的小麦品质测定方法对提高小麦品质、减少产后损失、保证国家粮食安全具有十分重要的意义。本课题拟在研究、分析国内外无损检测技术在农产品品质分析应用现状和研究进展的基础上，研究小麦籽粒声信号的预处理方法。根据声学检测原理，研制出小麦籽粒的声信号采集装置，首先采集小麦籽粒下落碰撞所产生的声音信号，对小麦声信号进行编辑和预处理，实验结合信号处理技术及MATLAB软件，对单粒小麦样品的声信号进行谱估计和小波变换，提取出时域和频域特征参数，为探讨小麦声学特性与其品质指标的关系奠定基础。本论文利用MATLAB软件编写小麦声音信号预处理程序，通过对小麦籽粒声信号进行处理，成功的提取出了有效的时域、频域的多种特征参数，为研究其声学特性与小麦品质内在的关系，做了充分的准备工作。-China is one of the countries in the world which has the largest wheat growing area and highest consumption. Wheat is one kind of the staple food in the world and also an important material for food industry. The value of wheat and its use all depends on is quality, To enhance quality of wheat,readuce post harvest loss and ensure grain security, great efforts should be made to develop rapid, objective, and easy methods for assessing wheat quality using signal processing techniques. This paper do the research of wheat signal preconditioning method and it basis of analysis domestic and foreign non-destructive testing technology.According to acoustic detection theory,an equipment of obtaining wheat sound signals is developed. Collecting the dropping voice signals of different varieties of wheat samples.And then do editing and sound signal preprocessing on wheat through signal processing technology.This paper do some research about spectrum estimate and wavelet transform on single wheat wi Platform: |
Size: 148480 |
Author:qichao |
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Description: 小波变换检测信号频谱边缘，利用多尺度小波模极大值法确定信号频谱边缘。-Wavelet transform edge detection of the signal spectrum, using multi-scale wavelet modulus maximum method to determine the edge of the signal spectrum. Platform: |
Size: 1024 |
Author:刘单 |
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Description: 利用小波变化对信号的边缘进行检测，方法使通过多尺度积对信号功率谱进行变化-Changes in the signal using the wavelet edge detection method to plot the signal through the multi-scale changes in the power spectrum Platform: |
Size: 1024 |
Author:子龙 |
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Description: 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears. Platform: |
Size: 19456 |
Author:whb |
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Description: 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears. Platform: |
Size: 30720 |
Author:whb |
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Description: 复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears. Platform: |
Size: 20480 |
Author:whb |
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Description: 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears. Platform: |
Size: 50176 |
Author:whb |
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Description: 魏凤英的现代气候统计诊断与预测技术的fortran源代码，里边包括气候变化趋势分析的程序：线性倾向估计、滑动平均及一些趋势检验和函数；气候突变检测：滑动t检验、Cramer s法、Yamamoto法、Mann-Kendall法、Pettitt法Lepage法；气候序列周期的提取方法：功率谱、最大熵谱、交叉谱、多维最大熵、奇异谱分析、小波分析；以及EOF、主成分等等，总之熟悉这本书的同学，应该知道这本书的“强大”是做数理统计分析、及气象等必备的工具书啊，而且其程序，尤为宝贵！特此与大家分享-WeiFengYing modern climate statistical diagnosis and prediction technology of FORTRAN source code, the inside including climate change trend analysis program: linear tend to estimate, moving average, accumulative anomaly, five, seven and nine point two times smooth cubic spline function and some trend test and functions Climate mutation detection: sliding t test, Cramer s method, Yamamoto method, Mann- Kendall method, Pettitt method Lepage method Climate sequence cycle extraction methods: power spectrum, the maximum entropy spectrum, cross spectrum, multidimensional maximum entropy, singular spectrum analysis and wavelet analysis And EOF, principal component, etc., in short familiar with this book classmate, should know the book "strong" is doing mathematical statistical analysis, and weather required reference ah, and its program, particularly precious! I share with you!!!!!!
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Author:小虎 |
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Description: 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。-Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information. Platform: |
Size: 141312 |
Author:张力 |
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Description: 本文综述了心音检测技术以及现代数字信号处理方法(谱估计、联合时一频分析、小波分析、模式识别)在心音信号分析中的应用及研究进展。-Heart sound detection technology are reviewed, and the modern digital signal processing method (spectrum estimation, joint frequency analysis, wavelet analysis and pattern recognition) in the analysis of the application and research progress of heart sound signals.
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Size: 800768 |
Author:温嘉杰 |
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Description: 基于互功率谱的时延估计，实现了对10个数字音的识别程序基于分段非线性权重值的Pso算法，有循环检测，周期性检测，采用了小波去噪的思想，仿真效果非常好。- Based on the time delay estimation of power spectrum, Realization of 10 digital audio recognition program Based on piecewise nonlinear weight value Pso algorithm, There are cycle detection, periodic testing, Using wavelet denoising thought, Simulation of the effect is very good. Platform: |
Size: 8192 |
Author:ycufef |
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Description: 基于互功率谱的时延估计，含噪脉冲信号进行相关检测,matlab编写的元胞自动机，matlab小波分析程序，在MATLAB中求图像纹理特征，是学习PCA特征提取的很好的学习资料，双向PCS控制仿真。- Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal, matlab prepared cellular automata, matlab wavelet analysis program, In the MATLAB image texture feature, Is a good learning materials to learn PCA feature extraction, Two-way PCS control simulation. Platform: |
Size: 8192 |
Author:wrqcv |
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Description: 含噪脉冲信号进行相关检测,多姿态，多角度，有不同光照,自己编的5种调制信号，利用贝叶斯原理估计混合logit模型的参数，基于互功率谱的时延估计，matlab小波分析程序。
- Noisy pulse correlation detection signal, Much posture, multi-angle, have different light, Own five modulation signal, Bayesian parameter estimation principle mixed logit model, Based on the time delay estimation of power spectrum, matlab wavelet analysis program.
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Size: 6144 |
Author:mnvab |
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Description: 采用小波奇异点检测方法寻找光谱谱峰位置，用来确定光谱中谱峰位置，峰高，峰宽等相关等信息。(locate spectral peaks in the spectrum by a wavelet singularity detection method) Platform: |
Size: 394240 |
Author:essfaucaizhijian
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Description: 基于FFT的谐波检测,采用快速傅里叶算法后得到原始波形中各次分量的频率和幅值特性，从中可以直接观测出各次谐波分量的频率和幅值信息.
程序1采用快速傅里叶算法后得到原始波形中各次分量的频率和幅值特性图
程序2输入信号经过FFT变换得到的频谱特性图
程序3对输入信号进行采样，应用一维小波变换函数进行三层小波分析(Based on FFT harmonic detection, the frequency and amplitude characteristics of each harmonic component in the original waveform are obtained by using fast Fourier algorithm, from which the frequency and amplitude information of each harmonic component can be directly observed
In program 1, the frequency and amplitude characteristics of each component in the original waveform are obtained by using the fast Fourier algorithm
The spectrum characteristic diagram of program 2 input signal through FFT transformation
Program 3 samples the input signal and applies one-dimensional wavelet transform function to three-level wavelet analysis) Platform: |
Size: 1024 |
Author:小木屋小木屋 |
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Search - Wavelet SPECTRUM DETECTION