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  1. 编程语言:所有
  2. 代码类别:波变换
  3. 发布时间:今天
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1. fftfenxi

  短时傅里叶变换 快速傅里叶变换对音频信号处理 频谱分析 (fast fft )

47
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181
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2020-12-18发布

2. 1b3f6358

说明:  CEEMDAN和EEMD等去噪方法的合集(CEEMDAN/EEMD/EMD:Collection of various denoising methods)

7
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197
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2020-12-15发布

3. hist_match_demo

说明:  利用ENVI/IDL,对两张影像进行直方图规范化,均衡化。(The histogram of the two images is normalized and balanced.)

1
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179
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2020-12-15发布

4. slantlet

  图像多尺度分析,小波变换的进一步发展slantlet变换代码,用matlab编写有使用说明(slantlet code)

45
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162
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2020-12-14发布

5. ECG

  心电信号分析 (1)设计滤波器,实现对心电信号的噪声抑制和基线纠漂。 (2)时域分析:R波检测算法与实现. (3)功率谱分析:对消噪后的信号进行功率谱分析。要求计算信号的功率谱,功率谱峰值,峰值频率。 (ECG Analysis (1) design filters to achieve noise suppression of ECG and baseline drift correction. (2) time-domain analysis: R-wave detection algorithm and implementation (3) The power spectrum analysis: noise cancellation signal after the power spectrum analysis. Require calculation of the signal power spectrum, peak power spectrum, peak frequency.)

240
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189
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2020-12-10发布

6. mediumvaluefilter

  中值滤波源程序,非常好用。程序有说明很容易看懂!(median filtering source, very handy. Note procedure is easy to read!)

133
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239
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2020-12-09发布

7. tuxiangbianh

  离散小波变换与离散小波反变换 快速小波变换(Mallat小波分解算法):对一幅图像做2级小波分解(离散小波变换)与合成(离散小波反变换)(Discrete wavelet transform and discrete wavelet inverse transform fast wavelet transform (Mallat wavelet decomposition): For an image to do 2 wavelet transform (DWT) and synthesis (discrete wavelet inverse transform))

164
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160
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2020-12-08发布

8. JPEG2000

说明:  小波变化代码,是比较好的测试向量,包括位平面编码和MQ(Wavelet transform code, is a better test vectors, including the bit plane coding and MQ)

0
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231
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2020-12-06发布

9. subtraction-speech-denoising

  一种基于改进谱减法的语音去噪新方法,对于想学习谱减法的同学有很大的帮助(A kind of based on improved spectral subtraction speech denoising, a new method to want to learn the spectral subtraction classmates have a lot of help )

35
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230
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2020-12-02发布

10. kalman

  kalman 卡尔曼滤波C代码 用于滤除高斯白噪声的滤波 测试真是可用。(The kalman Kalman filter C code for filtered white Gaussian noise filtering test is really available.)

13
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192
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2020-12-01发布

11. 3dwaveletebyrf

  这是一本关于高维(三维以上)小波的书,对做三维的朋友应该有参考价值,所以特意贡献出(This is one of the high-dimensional (3-D above) wavelet, the book right to do 3D friends should have reference value, So deliberately contributing)

48
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198
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2020-12-01发布

12. 22222

  小波变换去噪,软阈值和硬阈值,以及自己的设计的阈值函数来去噪,毕业设计全套。很全面的资料,绝对最全面的资料,我保证(Wavelet denoising, soft thresholding and hard thresholding, as well as design their own threshold denoising function, the design of a full set of graduation. Comprehensive information is absolutely the most comprehensive information, I promise)

13. matlab_EZW

  嵌入式小波图像编码即EZW是最近很流行的一种编码方式,我的程序是用matlab实现对EZW的描述。(Embedded Wavelet EZW image coding that is very popular recently as a way of coding, I use the matlab process is to achieve a description of the EZW.)

16
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143
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2020-11-30发布

14. NumIntTest

  加速度振动信号积分为速度振动信号输出,如需要可再一次积分,变换为位移信号(Vibration signal of the acceleration integral transform)

67
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161
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2020-11-27发布

15. 非下采样小的一个实现程序 UWT

  非下采样小波变换的一个实现程序,对边缘和纹理提取效果较好(Nonsubsampled wavelet transform of an implementation program, better edge and texture extraction effect)

113
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177
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2020-11-25发布

16. thresold

说明:  基于小波变换阈值去噪的MATLAB源代码(包含小波包去噪程序)(threshold based on wavelet transform Denoising MATLAB source code (including wavelet denoising packet procedure))

7
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213
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2020-11-24发布

17. wavelet_example

  小波变换的例子, 小波变换的例子, 小波变换的例子, 小波变换的例子,(wavelet transform example, wavelet transform example, Wavelet Transform example, wavelet tra nsform example,)

191
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178
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2020-11-23发布

18. 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

31
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181
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2020-11-23发布

19. 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

31
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169
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2020-11-23发布

20. voltage-sag-lacote

  基于小波变换的电压暂降定位 利用模极大值原理实现暂降起止时刻的准确检测(voltage sag lacote based on wavelet transform Used to achieve maximum modulus principle sag beginning and ending time of the accurate detection)

131
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202
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2020-11-21发布