人脸识别完整程序

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

详细讲述了如何用matlab进行程序设计，如何编写高效的程序。(Describe in detail how to use matlab program design, how to write efficient programs.)

Matlab图形界面例程，适合Matlab初学者学习图形界面编程。(An example of Matlab GUI programming.)

Laguerre自适应滤波器源代码(Laguerre adaptive filter source code)

超实用的matlab函数使用文档说明,有很多哦~,分几个包上传(ultra-practical use of Matlab function documents show that there are many-oh, a few hours .. Upload Packet)

可靠性评估经典算例IEEErts96输入调用，matlab编程(Reliability evaluation classic example IEEErts96 input call, matlab programming)

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In the fields of computer vision and image analysis, the Harris-affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas.

有关直方图均衡化原理的matlam源程序(the histogram equalization principle source of matlam)

热传导方程几种差分格式的MATLAB数值解法比较(Numerical method for solving the heat conduction equation of several kinds of difference scheme of MATLAB )