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fft
说明： 用于计算一个实数或复数序列的离散傅里叶变换和一个复数序列的逆离散傅里叶变换(fast fourier transform subroutine for real valued series)
- 2020-06-24 20:00:02下载
- 积分：1
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pwmzhengliuIControl
主要仿真风力发电系统下matlab pwm整流及波形分析(Main simulation wind power systems matlab rectifier
)
- 2012-04-26 10:50:19下载
- 积分：1
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小波变换
说明： 地震勘探中小波变换，去噪，对初学者容易上手，运用maltlab编写，运行也方便，(Wavelet transform and denoising in seismic exploration)
- 2020-04-10 14:57:25下载
- 积分：1
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Ch1999
小波变换在故障诊断中的应用 441
18.1 引言 441
18.2 基本原理 442
18.3 小波变换在轴承故障诊断中的应用 444
18.3.1 轴承外环故障诊断 444
18.3.2 轴承滚动体故障诊断 448
18.4 小波变换在齿轮故障诊断中的应用 450
18.5 小波包在轴承故障诊断中的应用 452
18.5.1 轴承外环故障诊断 453
18.5.2 轴承滚动体故障诊断 454(wavelet transform fault diagnosis of Introduction 441 18.1 441 18.2 442 basic tenets 18.3 wavelet transform bearing fault diagnosis of 444 18.3.1 ring bearing 444 1 Fault Diagnosis 8.3.2 rolling bearings Fault Diagnosis 448 18.4 wavelet transform in Gear Fault Diagnosis of 450 1 8.5 wavelet packet bearing fault in the diagnosis of 452 18.5.1 ring bearing fault diagnosis 453 18. 5.2 roller bearings Fault Diagnosis 454)
- 2007-03-27 18:48:57下载
- 积分：1
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ZX_TFPF
基础时频峰值滤波程序，为初学者提供参考。(Based time-frequency peak filtering procedures, and provide a reference for beginners.)
- 2012-04-11 17:19:55下载
- 积分：1
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Wavelet-packet-process
小波包分解和重构的过程，在齿轮箱中的应用(Wavelet packet decomposition and reconstruction of the signal in the application of matlab, and energy, frequency
)
- 2013-01-09 09:01:17下载
- 积分：1
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fcwt
自己编写的基于指数遗忘快速算法改进的morlet小波变换程序(I have written forgotten fast algorithm based on the index improved wavelet transform morlet procedure)
- 2021-01-05 16:18:54下载
- 积分：1
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fft
傅立叶变换方法并利用数据高程模型计算重力异常(Calculating gravity anomaly based on the DEM)
- 2011-12-07 16:57:52下载
- 积分：1
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DSPC
多波束、波束形成、DSP实现、多波束分析(Multibeam、Multi-beam forming、Multi-beam analysis、DSP、)
- 2011-08-14 17:16:57下载
- 积分：1
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BCS-SPL-1.5-new
Block-based random image sampling is coupled with a projectiondriven
compressed-sensing recovery that encourages sparsity in
the domain of directional transforms simultaneously with a smooth
reconstructed image. Both contourlets as well as complex-valued
dual-tree wavelets are considered for their highly directional representation,
while bivariate shrinkage is adapted to their multiscale
decomposition structure to provide the requisite sparsity constraint.
Smoothing is achieved via a Wiener filter incorporated
into iterative projected Landweber compressed-sensing recovery,
yielding fast reconstruction. The proposed approach yields images
with quality that matches or exceeds that produced by a popular,
yet computationally expensive, technique which minimizes total
variation. Additionally, reconstruction quality is substantially
superior to that from several prominent pursuits-based algorithms
that do not include any smoothing
- 2020-11-23 19:29:34下载
- 积分：1
