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样条函数用于图像放大；可放大任意倍数；五次样条函数的构造 (five splines function)

信号处理的小波导引：稀疏方法（原书第3版） 《信号处理的小波导引：稀疏方法（原书第3版）》全面论述了稀疏表示的重要概念、技术和应用，反映了该主题在当今信号处理领域所起的关键作用。作者在解释了稀疏的主要概念后将其运用于信号压缩、噪声衰减和逆问题，同时给出了冗余字典、超分辨率和压缩感知中的稀疏表示。 　　本书既可以让应用数学系的学生了解数学公式的工程意义，也可以让计算机及电子工程系的学生了解工程问题的数学描述。对于小波理论与应用的研究人员，本书更是一本极具价值的参考书。(a Wavelet Tour of Signal Processing(Third Edition.The Sparse Way))

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

该算法实现字母个数的统计,希望对大家有用!()

图像分割，包括阈值分割Otsu法，边缘检测包括Roberts算子，Canny算子等，边界跟踪包括Bwtraceboundary函数调用来对图像进行分割等(Image segmentation, including threshold segmentation method of Otsu edge detection, including Roberts operator, Canny operator, edge tracking includes Bwtraceboundary function calls to the segmentation of the image)

详细介绍了matlab下的曲线和曲面拟合，并有一份word的原理说明，介绍的很详细，可供参考和实际运用(Described in detail under the matlab curve and surface fitting, and a word there is the principle that the very detailed introduction is available for reference and practical use of)

在张正友的基于平面方格的摄象机标定中,单应矩阵是关键的一步,本程序是效率精度比较高的源码(Zhang is the Friends of the plane on the box camera calibration alone should matrix is a crucial step, The procedure is relatively high efficiency accuracy of source)

OMP算法的matlab的详细描述，对学习正交匹配追踪算法和稀疏分解是很有用的(the OMP algorithm is describled by matlab,and it is very useful for us to study OMP algorithm and sparse decomposition.)

说明：  基于自适应α-β滤波器的接收机跟踪环多普勒自补偿算法(Based on adaptive alpha beta filter satellite receiver loop of the doppler compensation algorithm design)

把PCNN和非下采样结合，不仅降低了所用时间，而且提高了效率。(Under the PCNN and the sampling combination, not only reduced the time and improve the efficiency.)