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resample

于 2013-08-01 发布文件大小:151KB

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下载积分: 1 下载次数: 193

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重采样（升采样、降采样），含测试音频文件，大家一起交流下，谢谢(resample technology（upsample/downsample）,include wav test audio file)

文件列表：

重采样
......\8kHz signal.wav,89132,2013-04-03
......\down_resample.m,1546,2013-04-03
......\main_run.m,320,2013-04-09
......\resample_44kHz.wav,143438,2013-04-09
......\resample_44_1kHz.wav,143762,2013-04-09
......\up_resample.m,1562,2013-04-03
......\up_resample_line_inner.m,1817,2013-04-09

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fig7_34
We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.

2013-05-02 02:56:07下载

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This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

2014-02-14 18:30:49下载

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二用户CDMA系统，信道为加性高斯信道，使用BPSK调制，15位M序列扩频，可以正确解扩解调。输出为2用户的基带信号、扩频信号、PSK调制信号、解调信号的时域和频域特性，给出两个用户分别的误码率。 (Second, the user CDMA system, channel for the additive Gaussian channel, using BPSK modulation, 15 M Sequence Spread Spectrum, you can correct demodulation despreading. Output of 2 user' s baseband signal, spread spectrum signal, PSK signal modulation, demodulation signal time domain and frequency domain characteristics of the two users are given the bit error rate, respectively.)

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Orders Tracking Learning
对时域信号精准的实现角域重采样,并进行阶次傅里叶变换,且代码注释较多,适合新手(The angle domain resampling is precisely realized for the time domain signal, and the order Fourier transform is carried out, and the code annotation is more, suitable for the novice.)

2021-04-08 10:09:01下载

积分：1

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resample

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