Description: 1D signal:Identification of PieceWise Linear by multiple regression
Detection of homogeneous zone using entropie
Projection in the Hough space (1D) Platform: |
Size: 3977 |
Author:hi |
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Description: 调制信号的识别，可以通过各种调制的功率谱不同来识别，但这种方法在小信噪比下，性能不好，通过循环功率谱来识别，仿真表明在小信噪比下有很好的性能-modulation signal identification, can be modulated through the power spectrum to identify different, but this approach in a small signal to noise ratio, poor performance, cycle power spectrum to identify, in a small simulation shows a good SNR performance Platform: |
Size: 7139 |
Author:向兔兔 |
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Description: Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications in multimedia technology, audio-visual signal processing, cellular mobile communication, adaptive network management, radar systems, pattern analysis, medical signal processing, financial data forecasting, decision making systems, etc. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy. Hence, noise reduction and the removal of channel distortion is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Platform: |
Size: 3711187 |
Author:jiezhao |
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Description: This paper presents various applications of a nonlinear
adaptive notch filter which operates based on the concept
of an enhanced phase-locked loop (PLL). Applications of the filter
for online signal analysis for power systems protection, control and
power quality enhancement are presented. The proposed scheme
can be applied for signal analysis both under stationary and nonstationary
conditions. Based on digital time-domain simulations,
applications of the filter for a) sinusoidal waveform peak detection,
b) harmonic identification/detection, c) detection/extraction
of individual components of a signal, d) instantaneous reactive
current extraction, e) disturbance detection, f) noise reduction in
zero-crossings detection, and g) amplitude (phase) demodulation
for flicker estimation, are presented. Platform: |
Size: 153503 |
Author:yangyansky |
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Description: 1D signal:Identification of PieceWise Linear by multiple regression
Detection of homogeneous zone using entropie
Projection in the Hough space (1D) Platform: |
Size: 4096 |
Author:hi |
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Description: 可展示虹膜图像信号提取的小波变换部分，及识别演示-iris images can be displayed signal from the wavelet transform, and identification demo Platform: |
Size: 3072 |
Author:陈曙 |
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Description: 调制信号的识别，可以通过各种调制的功率谱不同来识别，但这种方法在小信噪比下，性能不好，通过循环功率谱来识别，仿真表明在小信噪比下有很好的性能-modulation signal identification, can be modulated through the power spectrum to identify different, but this approach in a small signal to noise ratio, poor performance, cycle power spectrum to identify, in a small simulation shows a good SNR performance Platform: |
Size: 7168 |
Author:向兔兔 |
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Description: 说话人识别是语音识别的一种特殊方式，其目的不是识别语音内容，而是识别说话人是谁，即从语音信号中提取个人特征。采用矢量量化（VQ）可避免困难的语音分段问题和时间归整问题，且作为一种数据压缩手段可大大减少系统所需的数据存储量。本文提出了识别特征选取采用复倒谱特征参数和对应用VQ的说话人识别系统改进的一种方法。当用于训练的数据量较小时，复倒谱特征可以得到比较稳定的识别性能。VQ的改进方法避免了说话人识别系统的训练时间与使用时间相差过长从而导致系统的性能明显下降以及若利用自相关函数带来的大量运算。-Speaker Recognition Speech Recognition is a special way, its purpose is not voice recognition, Who identification but said that the voice signal from extracting personal characteristics. Vector quantization (VQ) can avoid the difficulties subparagraph voice to the issues and the whole time, and as a means of data compression system can significantly reduce the required data storage capacity. This paper presents a selection of identifiers employ Cepstrum parameters and the application of VQ speaker recognition system to improve a side France. When training for the amount of data is smaller, rehabilitation Cepstrum be relatively stable recognition performance. VQ improved ways to avoid the speech recognition system of training and the use of the difference in time, resulting in excessive sys Platform: |
Size: 23552 |
Author:张开 |
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Description: 输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。-input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability. Platform: |
Size: 3072 |
Author:谢灵心 |
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Description: 语音信号基音周期的提取,在说话人识别中可作为重要特征参数.也可用于语音合成.希望能对你有所帮助.-voice signal Pitch Extraction, Speaker identification can be as important parameters. can also be used for speech synthesis. The hope is to help you. Platform: |
Size: 1024 |
Author:rw |
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Description: Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications in multimedia technology, audio-visual signal processing, cellular mobile communication, adaptive network management, radar systems, pattern analysis, medical signal processing, financial data forecasting, decision making systems, etc. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy. Hence, noise reduction and the removal of channel distortion is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Platform: |
Size: 3710976 |
Author:jiezhao |
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Description: 使用FFT变换在频域对宽带扩频信号中的正弦干扰信号进行识别和抑制，其中扩频信号由1024点的伪随机序列表示-FFT transform the use of broadband in the frequency domain spread spectrum signal of sinusoidal interference signal identification and suppression, in which spread spectrum signal points from 1024 pseudo-random sequence that Platform: |
Size: 1024 |
Author:mengxiao |
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Description: M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。-M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms. Platform: |
Size: 81920 |
Author:黄金峰 |
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Description: 频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整，-Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very good method, program integrity, Platform: |
Size: 1024 |
Author:zhangmingxing |
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Description: 频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整，-Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very good method, program integrity, Platform: |
Size: 1024 |
Author:zhangmingxing |
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Description: 一种新的OFDM信号盲识别算法，利用多载波OFDM信号在时域上的近高斯性，提取信号特征参数Q作为分类特征-A new algorithm for the identification of Orthogonal Frequency Division Multiplexing(OFDM)signal is proposed．The feature
parameter a is used to discriminate OFDM signal because of their asymptotically Gaussia Platform: |
Size: 237568 |
Author:袁园 |
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Description: A.K.Nandi和E.E.Azzouz的期刊文献，是关于调制识别的经典文章，该文献是关于数字调制识别的，包括MASK,MPSK,MFSK调制方式的数字信号识别。-AKNandi and EEAzzouz of journal articles, is a classic article on the modulation recognition, the literature is about the digital modulation recognition, including MASK, MPSK, MFSK modulation digital signal identification. Platform: |
Size: 968704 |
Author:海之翼 |
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