Description: 考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。-consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power Platform: |
Size: 1826 |
Author:吴胜 |
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Description: 1． 利用自相关函数法和周期图法实现随机信号的功率谱估计。
2． 观察数据长度、自相关序列长度、信噪比、窗函数、平均次数等对谱估计的分辨率、稳定性、主瓣宽度和旁瓣效应的影响。
-1. The use of auto-correlation function method and cycle map Method random signal power spectrum estimation. 2. Observation data length, the length of autocorrelation sequence, the signal to noise ratio, window function, the average frequency of the spectrum estimation resolution, stability, width and the main valve Sidelobe effects. Platform: |
Size: 6072 |
Author:开心 |
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Description: 利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。
-use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiate between the three different frequency sinusoidal signal, its phase is uniformly distributed in the PI two independent random variables. but a flat white noise. Generating 50 length N = 512 samples of the sequence set. Platform: |
Size: 896 |
Author:lee |
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Description: 信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。-signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non - parametric model b Platform: |
Size: 101182 |
Author:james |
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Description: 用Fourier变换求取信号的功率谱---周期图法
用Fourier变换求取信号的功率谱---分段周期图法
用Fourier变换求取信号的功率谱---welch方法
功率谱估计----多窗口法（multitaper method ,MTM法）
功率谱估计----最大熵法（maxmum entmpy method,MEM法）
功率谱估计----多信号分类法（multiple signal classification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans
Fourier transform to strike a signal to the power spectrum - Sub-cycle Method
Fourier transform to strike a signal to the power spectrum --- welch method
Power spectrum estimated more than window ---- Law (multitaper method, MTM)
---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM)
---- More than the estimated power spectrum signal classification (multiple signal classification, music) Platform: |
Size: 2002 |
Author:walkinghill |
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Description: 考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。-consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power Platform: |
Size: 2048 |
Author: |
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Description: 用Fourier变换求取信号的功率谱---周期图法
用Fourier变换求取信号的功率谱---分段周期图法
用Fourier变换求取信号的功率谱---welch方法
功率谱估计----多窗口法（multitaper method ,MTM法）
功率谱估计----最大熵法（maxmum entmpy method,MEM法）
功率谱估计----多信号分类法（multiple signal classification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans
Fourier transform to strike a signal to the power spectrum - Sub-cycle Method
Fourier transform to strike a signal to the power spectrum --- welch method
Power spectrum estimated more than window ---- Law (multitaper method, MTM)
---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM)
---- More than the estimated power spectrum signal classification (multiple signal classification, music)-To strike a signal with Fourier transform power spectrum- periodogram to strike a signal with Fourier transform power spectrum- Sub-periodogram with Fourier transform power spectrum of the signal to strike-welch method of power spectrum estimation multi-window method (multitaper method, MTM method) Maximum entropy power spectrum estimation method (maxmum entmpy method, MEM law) power spectrum estimation multi-signal classification (multiple signal classification, music law) Fourier transform to strike a signal to the power spectrum- the cycle of plans Fourier transform to strike a signal to the power spectrum- Sub-cycle Method Fourier transform to strike a signal to the power spectrum- welch method Power spectrum estimated more than window Law (multitaper method, MTM) Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM ) More than the estimated power spectrum signal classification (multiple signal classification, music) Platform: |
Size: 2048 |
Author:walkinghill |
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Description: FFT算法进行ＦＦＴ 、ＩＦＦＴ、功率谱计算，包括Hamming 窗、Hanning 窗、triangle 窗、Blackman 窗、4 term Blackman-Harris 窗几种窗函数的功率谱计算功能。-FFT algorithms FFT, IFFT, power spectrum calculation, including the Hamming window, Hanning window, triangle window, Blackman window, 4 term Blackman-Harris window of several of the power spectrum window function computing power. Platform: |
Size: 372736 |
Author:huang |
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Description: ex6_1 ～ ex6_3二项分布的随机数据的产生
ex6_4 ～ ex6_6通用函数计算概率密度函数值
ex6_7 ～ ex6_20常见分布的密度函数
ex6_21 ～ ex6_33随机变量的数字特征
ex6_34 采用periodogram函数来计算功率谱
ex6_35 利用FFT直接法计算上面噪声信号的功率谱
ex6_36 利用间接法重新计算上例中噪声信号的功率谱
ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较
ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD
ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD
ex6_40 用程序代码来实现Welch方法的功率谱估计
ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果
ex6_42 用Yule-Walker AR法进行PSD估计
ex6_43 用Burg算法计算AR模型的参数
ex6_44 用Burg法PSD估计
ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果
ex6_46 用Multitaper法进行PSD估计
ex6_47 用MUSIC法进行PSD估计
ex6_48 用特征向量法进行PSD估计-ex6_1 ~ ex6_3 binomial distribution of the generated random data
ex6_4 ~ ex6_6 generic function value of the probability density function
ex6_7 ~ ex6_20 common distribution density function
ex6_21 ~ ex6_33 figure characteristics of random variables
periodogram function ex6_34 used to calculate the power spectrum
ex6_35 direct method using FFT signal above the noise of the power spectrum
ex6_36 recalculated using the indirect method on the example of the power spectrum of noise signal
tfe function ex6_37 used for system identification, and results were compared with the ideal
ex6_38 at 0.95 confidence interval for the estimated colored noise x on the PSD
ex6_39 at 0.95 confidence interval of the two colored noise on the estimated x, y between the CSD
ex6_40 code used to achieve the Welch method of power spectrum estimation
Welch method ex6_41 with PSD estimates, and compare different window function when the results when
ex6_42 using Yule-Walker AR method is esti Platform: |
Size: 7168 |
Author:张满超 |
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Description: 使用MATLAB对平稳随机信号以改进的功率谱法（welch法）以及Thomson多窗估计法（Thomson Multitaper Method）做功率谱估计的源代码-Pairs of stationary random signals using MATLAB in order to improve the power spectrum method (welch France), and the Thomson multi-window estimation method (Thomson Multitaper Method) to do the source code for power spectrum estimation Platform: |
Size: 1024 |
Author:赵明诚 |
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Description: 利用周期图法对序列进行功率谱估计，数据窗采用汉明窗-Sequences using periodogram method for power spectrum estimation, the data window with Hamming window Platform: |
Size: 33792 |
Author:Colorwaste |
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Description: FFT algorithms FFT, IFFT, power spectrum calculation, including the Hamming window, Hanning window, triangle window, Blackman window, 4 term Blackman-Harris window of several of the power spectrum window function computing power. Platform: |
Size: 3072 |
Author:firdausmustaffa |
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Description: FFT algorithms FFT, IFFT, power spectrum calculation, including the Hamming window, Hanning window, triangle window, Blackman window, 4 term Blackman-Harris window of several of the power spectrum window function computing power. Platform: |
Size: 1024 |
Author:firdausmustaffa |
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Description: 正弦波图，可以通过旋钮改变正弦波的平率，并对频谱进行功率谱hanning窗分析-Sine wave diagram, sine wave through the knob to change the flat rate, and spectrum analysis of the power spectrum hanning window Platform: |
Size: 67584 |
Author:华强 |
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Description: 函数fft1用经典方法计算信号的功率谱；hanshu.m中用welch方法计算功率谱，并选择不同的窗函数进行了对比；yali.m中用music法对接触压力数据进行功率谱分析-Calculated using the classical method function fft1 power spectrum of the signal hanshu.m using the welch methods calculate the power spectrum, and select a different window functions were compared yali.m using the music method of contact pressure data the power spectrum analysis Platform: |
Size: 1024 |
Author:蒲草如丝 |
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Description: Plot the power‐spectrum of the signal at 30.34 seconds. Use an analysis window of 23 ms.
Your plot should be labeled as dB in the y‐axis and frequency (Hz) for the x‐axis. Comment
very briefly on the spectral characteristic of the signal. Platform: |
Size: 1024 |
Author:董坚强 |
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Description: ex6_1 ～ ex6_3二项分布的随机数据的产生
ex6_4 ～ ex6_6通用函数计算概率密度函数值
ex6_7 ～ ex6_20常见分布的密度函数
ex6_21 ～ ex6_33随机变量的数字特征
ex6_34 采用periodogram函数来计算功率谱
ex6_35 利用FFT直接法计算上面噪声信号的功率谱
ex6_36 利用间接法重新计算上例中噪声信号的功率谱
ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较
ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD
ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD
ex6_40 用程序代码来实现Welch方法的功率谱估计
ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果
ex6_42 用Yule-Walker AR法进行PSD估计
ex6_43 用Burg算法计算AR模型的参数
ex6_44 用Burg法PSD估计
ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果
ex6_46 用Multitaper法进行PSD估计
ex6_47 用MUSIC法进行PSD估计
ex6_48 用特征向量法进行PSD估计
-ex6_1 ~ ex6_3 binomial random data
ex6_4 ~ ex6_6 generic function to calculate the probability density function value
ex6_7 ~ common distribution density function ex6_20
ex6_21 ~ ex6_33 numerical characteristics of random variables
ex6_34 using periodogram function to calculate the power spectrum
ex6_35 direct method using FFT power spectrum of the signal above the noise
ex6_36 use the indirect method to recalculate the case of the power spectrum of the noise signal
ex6_37 tfe functions to use the identification system and the results are compared with the ideal
ex6_38 the confidence level of the estimated colored noise x 0.95 range on PSD
ex6_39 the confidence level of the estimated two colored noise on the 0.95 x interval between the CSD y
ex6_40 application code to implement the Welch method of power spectrum estimation
The results ex6_41 with Welch PSD estimation method and compared using different window function when the time
ex6_42 with Yule-Walker AR method PSD esti Platform: |
Size: 5120 |
Author:Bruce |
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Description: 基于互功率谱的时延估计，窗函数法设计一个数字带通FIR滤波器，结合PCA的尺度不变特征变换(SIFT)算法。- Based on the time delay estimation of power spectrum, A window function design FIR digital band-pass filter, Combined with PCA scale invariant feature transform (SIFT) algorithm. Platform: |
Size: 5120 |
Author:pwidctca |
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Description: 基于互功率谱的时延估计，窗函数法设计一个数字带通FIR滤波器，感应双馈发电机系统的仿真。- Based on the time delay estimation of power spectrum, A window function design FIR digital band-pass filter, Simulation of doubly fed induction generator system. Platform: |
Size: 6144 |
Author:kanghiebunhie |
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Description: IMCRA(Improved?Minima Controlled Recursive Averaging，IMCRA)，它们虽然保证了噪声谱估计的准确性，但在追踪带噪语音平滑功率谱最小值时采用了固定时间窗，因此，在噪声突变的情况下，估计的噪声谱存在很长的延时。(IMCRA, Although they ensure the accuracy of noise spectrum estimation, they use a fixed time window to track the minimum value of smooth power spectrum of noisy speech. Therefore, in the case of noise mutation, the estimated noise spectrum has a long time delay.) Platform: |
Size: 3072 |
Author:hp11111111 |
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Search - POWER SPECTRUM of window