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SSDSADNCCMatlab
立体匹配算法中比较经典的块匹配方法。其中包含了比较有名的SADSSD算法---即左右视图中逐一比对像素数值,从而求得最小disparity 继而得到depth。(SSDSAD methods present in this file,which are improtant in the stereo matching-----we obtain the disparity with the difference of the intensity between the left and right images )
- 2010-10-15 17:03:13下载
- 积分:1
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Cdenoise
Contourlet去噪的程序。实现了图像的多尺度分解下的去噪与重建。(Denoising procedure Contourlet)
- 2010-12-06 22:53:53下载
- 积分:1
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Poincare
非线形混沌系统的庞加莱图的画法的代码以及其MATLAB m文件代码(Non-linear chaotic system Poincare map of the painting of the code and its MATLAB m-file code)
- 2013-09-27 15:47:09下载
- 积分:1
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newborn-brain-MRI
新生儿脑部脑部图像处理,英文论文。介绍了各种处理方法(Neonatal brain image processing in the brain, the English papers. Describes the various methods of treatment)
- 2012-10-03 14:53:21下载
- 积分:1
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M_567seq
本程序产生级数为5,6,7的大M序列,并比较其自相关和互相关特性(The program generated series 5,6,7 M sequence, and compare the autocorrelation and cross correlation properties)
- 2012-04-25 10:38:18下载
- 积分:1
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13_粒子群
航迹规划是无人机执行侦察和作战任务中的关键技术,规划算法的性能直接影响着航迹规划的质量。针对航迹规划最优性和实时性问题,提出一种惯性权值" 阶梯式" 调整策略与跳出局部最优解策略相结合的改进粒子群无人机航迹规划算法。(Route planning is the key technology for UAV to perform reconnaissance and combat tasks, and the performance of planning algorithm directly affects the quality of route planning. Aiming at the optimization and real-time performance of trajectory planning, an improved particle swarm optimization (UAV) trajectory planning algorithm is proposed, which combines the inertia weight "ladder" adjustment strategy with the strategy of jumping out of the local optimal solution.)
- 2020-10-18 13:47:26下载
- 积分:1
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一次采用特征点匹配的指纹识别调试代码
混沌的判断指标Lyapunov指数计算,均值便宜跟踪的示例,包括压缩比、运行时间和计算复原图像的峰值信噪比,直线阵采用切比学夫加权控制主旁瓣比,用谱方法计算流体力学一些流动现象的整体稳定性,有PMUSIC 校正前和校正后的比较。
- 2022-01-26 01:01:33下载
- 积分:1
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NSE_QNS
Navier Stokes solution
- 2014-02-25 21:44:57下载
- 积分:1
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傅里叶谱与频域低通滤波
说明: 傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小,M x N。此外,您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a),并对其进行低通滤波,以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain
(a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum.
(b) Display the spectrum.
(c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function.
(d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)
- 2018-12-24 21:49:57下载
- 积分:1
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vc_kalman_code
拥有VC界面的KALMAN滤波代码,仿真界面清晰易懂。(KALMAN filter with VC interface code, simulation interface clear and easy to understand.)
- 2010-12-25 18:09:02下载
- 积分:1