Search - spectrum of fourier in matlab

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[matlab] ARMODEL DL : 0: 功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。-Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe
Date : 2026-01-03 Size : 2kb User :
[matlab] 12 DL : 0: Matlab做的关于三角波，正弦波，方波的FFT算法，可以分析方波信号、三角波信号的频谱以及采样点数、采样频率对频谱分辨率的影响。-Matlab to do on the triangle wave, sine wave, square wave of the FFT algorithm, can be analyzed square-wave signal, triangular wave signal of the spectrum as well as the sampling points, the sampling frequency affect the resolution of the spectrum.
Date : 2026-01-03 Size : 1kb User : venppen
[matlab] MATLABprograminfft DL : 0: 1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 -1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Made of the three signals in root-mean-square maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform
Date : 2026-01-03 Size : 4kb User : 白杨
[matlab] fft DL : 0: matlab 数字图像信号的频域分析及仿真将二维数字图像进行傅立叶频域分析，并且做了图像幅度谱重建和相位谱重建，通过这个例子大家可以明白相位比振幅更重要。-matlab digital image signals in frequency domain analysis and simulation of two-dimensional digital image Fourier frequency domain analysis, and has done a reconstruction of the image amplitude spectrum and phase spectrum reconstruction, by this example we can understand the phase is more important than the amplitude.
Date : 2026-01-03 Size : 773kb User : 自由色彩
[matlab] first DL : 1: 二维傅里叶变换,对图像进行二维傅里叶变换处理-Two-Dimensional Fast Fourier Transform The purpose of this project is to develop a 2-D FFT program "package" that will be used in several other projects that follow. Your implementation must have the capabilities to: (a) Multiply the input image by (-1)x+y to center the transform for filtering. (b) Multiply the resulting (complex) array by a real function (in the sense that the the real coefficients multiply both the real and imaginary parts of the transforms). Recall that multiplication of two images is done on pairs of corresponding elements. (c) Compute the inverse Fourier transform. (d) Multiply the result by (-1)x+y and take the real part. (e) Compute the spectrum.
Date : 2026-01-03 Size : 1kb User : solo
[matlab] yi DL : 0: 基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。-Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, given the sine function x = sin (2蟺f0n/N+蟺/3)+sin (2蟺f1n/N+蟺/4) set value of f0.f1, do a quick noise Fourier transform to analyze the spectrum in matlab, verify that with f0, in line with the value of F1. Transform the value of N, see change as the value of N corresponding points of compliance and what changes.
Date : 2026-01-03 Size : 1kb User : xiha
[matlab] MATLAB-GUI-SHEJI DL : 0: 利用MATLAB中的GUI（图形用户界面），实现图像的灰度化，直方图，图像的错切变换，直方图均衡化，量化图像及图像的傅里叶频谱，是效果更加明显。-In MATLAB GUI (graphical user interface), to achieve graying, histogram, image conversion cut the wrong image, histogram equalization, quantized image and the image of the Fourier spectrum of the effect is more obvious.
Date : 2026-01-03 Size : 1.15mb User : konghao
[matlab] 语音信号处理 DL : 0: 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量，短时过零以及短时自相关函数分析和频域的傅里叶变换，功率谱估计，短时傅里叶变换，小波分析，语音信号的短时综合，语谱图各种分析，充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time domain of short-time energy and short-time zero crossing and short-time autocorrelation function analysis and frequency domain Fourier transform, power spectrum estimate, short-time Fourier transform, wavelet analysis, the short synthesis speech signal, the spectra of various analysis, fully understand the familiar voice signal correlation analysis method.)
Date : 2026-01-03 Size : 408kb User : Liu0_
[matlab] 声音解析matlab DL : 0: 对非平稳信号进行分段、截取，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the frequency characteristics of each time node are found in order to analyze the sound characteristics in different event segments.)
Date : 2026-01-03 Size : 23kb User : 帅红
[matlab] STFFTtool DL : 1: 对非平稳信号进行分段、截取，将非平稳信号转化为平稳信号，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the frequency characteristics of each time node are found in order to analyze the sound characteristics in different event segments.)
Date : 2026-01-03 Size : 2kb User : 帅红
[matlab] STFFTtool1 DL : 0: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period.)
Date : 2026-01-03 Size : 7kb User : 帅红
[matlab] STFFTtool2 DL : 0: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, to distinguish different sounds to.)
Date : 2026-01-03 Size : 2kb User : 帅红
[matlab] STFFTtool3 DL : 0: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，一图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, expressed in the form of an image, and ultimately achieve the purpose of distinguishing different voices.)
Date : 2026-01-03 Size : 8kb User : 帅红
[matlab] keypoint DL : 0: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，以图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, in the form of images to express, to reach the purpose of distinguishing different voices.)
Date : 2026-01-03 Size : 1kb User : 帅红
[matlab] fourier DL : 0: 基于MATLAB 的语音信号频谱分析与去噪研究 1、通过Matlab读入语音信号，进行频域分析 2、绘制语音信号频谱； 3、设计滤波器并进行滤波； 4、加噪，对比语音信号波形和频谱(Research on speech signal spectrum analysis and denoising based on MATLAB 1, read the voice signal through Matlab and analyze it in frequency domain. 2, draw the frequency spectrum of speech signal; 3. The filter is designed and filtered. 4. Add noise and compare the waveform and spectrum of speech signal)
Date : 2026-01-03 Size : 25.26mb User : malvina