Description: Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.-Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations. Platform: |
Size: 702290 |
Author:张恩理 |
Hits:
Description: Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.-Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations. Platform: |
Size: 702464 |
Author:张恩理 |
Hits:
Description: 状是含有高层语义信息的视觉特征，在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征，傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理，应用非常广泛。然而自然图像的形状特征通常是杂乱的，有噪声的，提出了一种图像预处理方法，得到净化的形状图像，通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
Platform: |
Size: 102400 |
Author:倪晓雷 |
Hits:
Description: 正交信号校正，一种预处理算法，用来消除光谱中与浓度无关的信息，增强浓度与光谱的相关性-Orthogonal signal correction, a preprocessing algorithm, to eliminate the information in the spectrum unreleated with the target concentration, enhanceing the correlation between concentration and spectral Platform: |
Size: 1024 |
Author:张倩暄 |
Hits:
Description: 维纳滤波程序，一种信号处理程序，可用于数据预处理-Wiener filtering process, a signal processing procedure can be used for data preprocessing Platform: |
Size: 1024 |
Author:jyf |
Hits:
Description: 在图像实时处理的过程中，下层图像预处理的数据量大，运算简单，但是要求运算速率高，可以用FPGA硬件来处理，上层所处理的数据量少，算法结构复杂，适于运算速度快，寻址灵活的DSP数字信号处理器进行处理。该系统充分发挥了FPGA和DSP各自的优势，能更好地提高图像处理的实时性，降低成本。
-Real-time processing in the image process, the lower the amount of data preprocessing, simple operation, but requires high speed operation, you can use FPGA hardware processing, the data handled by upper layer less, complex algorithms, suitable for fast operation , addressing a flexible DSP digital signal processors. The system fully play their respective advantages FPGA and DSP, can better improve the real-time image processing and reduce costs. Platform: |
Size: 97280 |
Author:汪江 |
Hits:
Description: 该程序的主要功能是进行一维信号或二维信号的数据进行重新编码，以减少数据冗余，对于数字水印彩色图像的预处理具有较好的帮助。-The program s main function is to re-encode the one-dimensional signals or two- dimensional signal data to reduce data redundancy , and has a good help for digital watermarking of color image preprocessing .
Platform: |
Size: 1024 |
Author:Teacher Su |
Hits:
Description: 傅立叶描述子是分析和识别物体形状的重要方法之一．利用基于曲线多边形近似的连续傅立叶变换方法 计算傅立叶描述子，并通过形状的主方向消除边界起始点相位影响的方法，定义了新的具有旋转、平移和尺度不变 性的归一化傅立叶描述子．与使用离散傅立叶变换和模归一化的传统傅立叶描述子相比，新的归一化傅立叶描述 子同时保留了模与相位特性，因此能够更好地识别物体的形状．实验表明这种新的归一化傅立叶描述子比传统的 傅立叶描述子能够更加高效、准确地识别物体的形状．-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment. Platform: |
Size: 349184 |
Author:劳世华 |
Hits:
Description: 心电信号的预处理，包括多种滤波方式，经过测试，滤波效果很好-ECG signal preprocessing, including a variety of filtering methods, after testing, the filter effect is very good Platform: |
Size: 2940928 |
Author:张晶如 |
Hits:
Description: 本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括括语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取，采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别
-This paper first introduces the research and development of speech recognition, and then follow the process of the speech recognition system, describes the various steps of the speech recognition, several methods are available and each step were analyzed and compared on an experimental basis. Study of the speech signal preprocessing and characterized parameter extraction, including voice signals of the digitization, stars frame windowed pre heavier filtering, endpoint detection timely domain feature vectors and transform domain feature vector. Wherein the endpoint detection using double doors limit law. By experiment than the characteristic parameters of the selected 12 order linear prediction cepstral coefficients as recognition parameters. A detailed analysis of a specific isolated word recognition Platform: |
Size: 2491392 |
Author:mx |
Hits:
Description: 将高阶时频表示引入机械故障诊断领域。介绍了Wigner 高阶矩谱(WHOS)的概念、定义。针对多分量信号Wigner 高阶矩谱的交叉项会产生“虚假信号”,结合局域波法, 提出了一种抑制WHOS交叉项的新方法。首先对复杂信号进行预处理, 利用局域波分解方法把其分解成有限个具有单分量特性的基本模式分量,然后对每个基本模式分量计算WHOS。该方法能有效抑制WHOS时频分布的交叉项。通过仿真实验和转子的故障实验,以Wigner 双谱为例, 验证了该方法的实用性,为故障诊断的特征提取提供了新的工具-Higher order time-frequency representation introduced the field of mechanical fault diagnosis. Wigner higher order moment spectrum (WHOS) introduced the concept of definition. Wigner higher order moment spectrum of multi-component signal cross terms will produce " false signal" , combined with local wave method, a new method of an inhibitory the WHOS cross items. First of complex signal preprocessing, local wave decomposition method to decompose into a finite number of single component characteristics the basic mode component, and then for each mode component calculated WHOS. This method can effectively inhibit WHOS cross terms of the frequency distribution. Experiment by simulation and the fault of the rotor, Wigner bispectrum, for example, verify the usefulness of the method, provided a new tool for the fault diagnosis feature extraction Platform: |
Size: 362496 |
Author:张力 |
Hits:
Description: 这是一个用verilog写的DC滤波器，即melp算法中预处理部分，主要滤除50hz工频干扰，采用一个4阶的切比雪夫高通滤波器，截去频率位60hz以下的信号，其阻带的衰减位30db。-This is a verilog to write a DC filter the preprocessing part that melp algorithm, main filter 50hz frequency interference, the use of a fourth-order Chebyshev high-pass filter, the truncated frequency bit 60hz signal, its resistance with attenuation bit 30dB. Platform: |
Size: 4755456 |
Author:张妞妞 |
Hits:
Description: EMD 算法，消除信号趋势项，可以作为信号预处理的部分-Part of the EMD algorithm to eliminate the signal trend term, can serve as a signal preprocessing Platform: |
Size: 262144 |
Author:孟宪 |
Hits:
Description: 从高噪下提取微弱信号是工程中在信号预处理中很重要的一个分支。故该课题要求同学在分析弱信号的特点基础上，研究不同算法在弱信号检测上的优缺点-Extract weak signals from noisy signal preprocessing engineering in a very important branch. Therefore, the subject requires students to analyze the characteristics of a weak signal on the basis of research on the advantages and disadvantages of different algorithms to detect the weak signal Platform: |
Size: 345088 |
Author:杜倩 |
Hits:
Description: ue to the volume conduction multichannel electroencephalogram (EEG) recordings
give a rather blurred image of brain activity. Therefore spatial filters are
extremely useful in single-trial analysis in order to improve the signal-to-noise
ratio. There are powerful methods from machine learning and signal processing
that permit the optimization of spatio-temporal filters for each subject in a data
dependent fashion beyond the fixed filters based on the sensor geometry, e.g., Laplacians. Here
we elucidate the theoretical background of the common spatial pattern (CSP) algorithm, a popular
method in brain-computer interface (BCI) research. Apart from reviewing several variants of
the basic algorithm, we reveal tricks of the trade for achieving a powerful CSP performance,
briefly elaborate on theoretical aspects of CSP, and demonstrate the application of CSP-type preprocessing
in our studies of the Berlin BCI (BBCI) project. Platform: |
Size: 1248256 |
Author:fariba |
Hits:
Description: 一阶导数、二阶导数，矢量归一化（SNV），多元散射校正（MSC），数据中心化，直接信号校正，平滑处理六种光谱数据预处理的方法-A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectral data preprocessing methods Platform: |
Size: 712704 |
Author:mine |
Hits:
Description: 消除趋势项的预处理程序，在信号预处理时非常有用，我做毕业论文时候参考很多教材修改过来的，代码友好。-Eliminate preprocessor trend items, is useful when the signal preprocessing, thesis when I do a lot of teaching material modifications over the reference code friendly. Platform: |
Size: 1024 |
Author:陈危 |
Hits:
Description: 与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing) Platform: |
Size: 266240 |
Author:一片真心 |
Hits:
Search - preprocessing a signal