Description: matlab绘制CW信号的时域波形，同时对信号进行频谱分析，并考察采样频率以及信噪比对频谱分析的影响。-matlab draw CW signal time-domain waveform, and spectral analysis of signals and the sampling frequency and signal to noise ratio study of the impact of spectrum analysis. Platform: |
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Author:holy0615 |
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Description: 用matlab绘制线性调频信号的时域波形，同时对信号进行频谱分析，并考察采样频率以及信噪比对频谱分析的影响。-Matlab drawing with linear frequency modulation signal time-domain waveform, and spectral analysis of signals and the sampling frequency and signal to noise ratio study of the impact of spectrum analysis. Platform: |
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Author:holy0615 |
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Description: P. Stoica经典著作《Spectral Analysis of Signals》程序。包括AR模型、ARMA、MUSIC等40多个程序-P. Stoica classic " Spectral Analysis of Signals" procedures. Including the AR model, ARMA, MUSIC, such as more than 40 procedures Platform: |
Size: 405504 |
Author:wangke |
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Description: 自己编写的信号产生和处理软件,以matlab7为平台.可以实现确定信号和非确定信号的产生,各种滤波器的设计,对信号的频谱分析,滤波后信号的频谱分析等功能.有利于信号与系统.数字信号处理相关课程的学习与理解-The preparation of the signals themselves and deal with software as a platform to matlab7. Can determine the signal and non-identifying signal the emergence of a variety of filter design, spectral analysis of signals, filter the signal after the spectrum analysis functions. In favor of the signal and systems. Digital Signal Processing-related courses of study and understanding Platform: |
Size: 108544 |
Author:hihi |
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Description: 语音信号的谱分析的用户界面设计，可以对语音信号做频谱，语谱，倒谱分析-Spectral analysis of speech signals the user interface design, you can do voice signal spectrum, language spectrum, cepstrum analysis Platform: |
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Author:lipinglin |
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Description: Spectral Analysis of Signals
P. Stoica经典著作《Spectral Analysis of Signals》-Spectral Analysis of Signals
Petre Stoica, Uppsala University
Randolph L. Moses, Ohio State University
Prentice Hall, 2005
ISBN: 0-13-113956-8
Product Description
For introductory courses on Spectral Analysis at the graduate or advanced undergraduate level. An accessible text for students, researchers, and practitioners in the general area of Signal Processing, is an expanded edition of the text "Introduction to Spectral Analysis" by the same authors (Prentice-Hall, 1997). A host of new complements and exercises along with an appendix on model order selection have been included in the book to make it a more up-to-date and useful text as well as a more self-contained learning tool for a diversity of students and researchers. The text presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it covers both classical and modern approaches of spectral analysis. Topics covered include nonparametric spectrum a Platform: |
Size: 20781056 |
Author:wufeng |
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Description: 应用FFT对信号进行频谱分析，列有实验内容-Application of FFT spectral analysis of signals, the contents of the column experiments have Platform: |
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Author:efan |
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Description: 优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。
本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。
-Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy．
This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance Platform: |
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Author:NBB |
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Description: 应用FFT对信号进行频谱分析 IIR数字滤波器的直接设计 窗函数法设计FIR滤波器 用双线变换法设计IIR滤波器-Application of FFT spectral analysis of signals directly to design IIR digital filter design FIR filter window function with a double transform IIR filter design Platform: |
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Author:zhangjiahui |
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Description: 应用快速傅里叶变换对信号进行频谱分析，其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域，频域波形。有详细的标注！-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangular sequence. Plotted the time domain and frequency domain waveforms. Detailed mark! Platform: |
Size: 3072 |
Author:yuke |
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Description: 应用快速傅里叶变换对信号进行频谱分析，其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域，频域波形。有详细的标注！-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangular sequence. Plotted the time domain and frequency domain waveforms. Detailed mark! Platform: |
Size: 2048 |
Author:yuke |
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Description: 应用快速傅里叶变换对信号进行频谱分析，其中包括高斯序列。绘出其时域，频域波形。有详细的标注！-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence. Plotted the time domain and frequency domain waveforms. Detailed mark! ! ! Platform: |
Size: 1024 |
Author:yuke |
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Description: 应用快速傅里叶变换对信号进行频谱分析，其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域，频域波形。有详细的标注！-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangular sequence. Plotted the time domain and frequency domain waveforms. Detailed mark! Platform: |
Size: 3072 |
Author:yuke |
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Description: The Hilbert–Huang method is presented with modifications,
for time-frequency analysis of distorted power quality signals.
The empirical mode decomposition (EMD) is enhanced with
masking signals based on fast Fourier transform (FFT), for separating
frequencies that lie within an octave. Further, the instantaneous
frequency and amplitude of the constituent modes obtained
by Hilbert spectral analysis are improved by demodulation. The
method shows promising time-frequency-magnitude localization
capabilities for distorted power quality signals. The performance
of the new technique is compared with that of another multiresolution
analysis tool, the S-transform—a phase corrected wavelet
transform. Analysis on actual measurements of transformer inrush
current from an existing laboratory setup is used to demonstrate
this technique. Platform: |
Size: 835584 |
Author:imed |
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