TranCoordinate

matlab code used for face recognition

MATLAB在信号处理中应用循环卷积用MATLAB计算连续时间信号的卷积(MATLAB in signal processing using MATLAB computing cyclic convolution of the convolution of continuous-time signal)

梯度法反演方法的实现，含有实例函数的极小值优化(gradient method)

合成孔径雷达欺骗式干扰的matlab仿真源码(Synthetic aperture radar deception matlab simulation-type of interference source)

Inverse discrete cosine transform of an image

主要是基于mtlab的程序，基于多相结构的信道化接收机，分数阶傅里叶变换计算方面。( Mainly based on the mtlab procedures, Channelized receiver based on multi-phase structure, Fractional Fourier transform computing.)

数值分析的实验用二分法编写程序代码的例子(Numerical analysis of the experimental programming code examples of the dichotomy)

hydraulic spring

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

Roberts edge detection algorithm