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eliminatenoise
说明： 给图片添加了正弦噪声，利用MATLAB源代码消除噪声。(Sine was added to the image noise, using MATLAB source code to eliminate noise.)
- 2010-04-09 17:29:20下载
- 积分：1
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MatlabPHarris
一个基于matlab的harris角点图像配准程序，运行效果良好，虽然存在误匹配，但很值得借鉴。(A harris corner points based on matlab for image registration procedures, running well, although there are false matches, but it is worth learning from.)
- 2011-05-03 19:30:35下载
- 积分：1
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matlab
永磁同步电机和直流电机调速，simulink仿真，看看大家有没有用(Permanent magnet synchronous motor and DC motor speed)
- 2011-05-20 14:07:07下载
- 积分：1
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PAM_8
用Simulink实现PAM调制，并显示星座图和眼图(PAM modulation and demodulation)
- 2015-05-29 20:47:11下载
- 积分：1
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wideband-DOA-estimation
提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)
- 2014-04-23 21:00:37下载
- 积分：1
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101259378luv_rgb_yuv_lab_space_convert(2)
Convert a color image between color representations.
B = COLORSPACE(S,A) converts the color representation of image A
where S is a string specifying the conversion. S tells the
source and destination color spaces, S = dest<-src , or
alternatively, S = src->dest . Supported color spaces are
RGB R G B Red Green Blue (ITU-R BT.709 gamma-corrected)
YPbPr Luma (ITU-R BT.601) + Chroma
YCbCr / YCC Luma + Chroma ("digitized" version of Y PbPr)
YUV NTSC PAL Y UV Luma + Chroma
YIQ NTSC Y IQ Luma + Chroma
YDbDr SECAM Y DbDr Luma + Chroma
JPEGYCbCr JPEG-Y CbCr Luma + Chroma
HSV / HSB Hue Saturation Value/Brightness
HSL / HLS / HSI Hue Saturation Luminance/Intensity
XYZ CIE XYZ
Lab CIE L*a*b* (CIELAB)
Luv CIE L*u*v* (CIELUV)
Lch CIE L*ch (CIELCH)(Convert a color image between color representations. B = COLORSPACE (S, A) converts the color representation of image A where S is a string specifying the conversion. S tells the source and destination color spaces, S = ' dest <-src' , or alternatively, S = ' src-> dest' . Supported color spaces are ' RGB' R' G' B ' Red Green Blue (ITU-R BT.709 gamma-corrected)' YPbPr ' Luma (ITU-R BT.601 )+ Chroma ' YCbCr' /' YCC' Luma+ Chroma ( " digitized" version of Y' PbPr) ' YUV' NTSC PAL Y' UV Luma+ Chroma ' YIQ' NTSC Y' IQ Luma+ Chroma ' YDbDr' SECAM Y ' DbDr Luma+ Chroma ' JPEGYCbCr' JPEG-Y' CbCr Luma+ Chroma ' HSV' /' HSB' Hue Saturation Value/Brightness' HSL ' /' HLS ' /' HSI ' Hue Saturation Luminance/Intensity' XYZ ' CIE XYZ' Lab ' CIE L* a* b* (CIELAB)' Luv ' CIE L* u* v* (CIELUV)' Lch ' CIE L* ch (CIE)
- 2009-04-13 10:24:47下载
- 积分：1
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four-wei-scale
在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采
用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地
刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得
到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对
目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。
关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)
- 2012-06-08 22:53:43下载
- 积分：1
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OCR
Optics Caracters Reconogintion
- 2014-10-07 11:42:01下载
- 积分：1
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LDPCcodeanddecode
LDPC编码，完整的编解码过程 matlab代码(LDPC codes, encoding and decoding process of the complete matlab code)
- 2010-08-31 10:08:39下载
- 积分：1
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cdf_m
汉森的广义t分布的matlab程序（金融）(Hansen s matlab code for finance )
- 2010-09-20 10:32:38下载
- 积分：1
