myshift

Detects lines in a binary image using common computer vision operation known as the Hough Transform.

稀疏分数阶傅里叶变换例子，线性调频信号的例子，分数阶傅里叶变换检测(Sparse fractional Fourier transform examples, linear frequency modulation signal example, fractional Fourier transform detection)

image watermarking method

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The circular convolution, also known as cyclic convolution, of two aperiodic functions (i.e. Schwartz functions) occurs when one of them is convolved in the normal way with a periodic summation of the other function.

说明：  包含了《精通MATLAB》书中所有源代码，极具参考与实用价值！(Contains the )

说明：  基于傅里叶变换的去除图像纹理方法。通过去除频域高亮区域来消除纹理，保留低频信息。(Based on Fourier Transform method to remove the image texture. Highlighted region by removing the frequency domain to eliminate the texture, retain low frequency information.)

在Matlab的Simulink仿真环境，模拟光伏板输出功率曲线。(In Matlab Simulink simulation environment, the analog output of photovoltaic panels power curve.)

具有良好的用户界面，能够实现录音，男女声音相互转换，使用了多种滤波器(Matlab )

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)