KL-base-face-recognition

首先读取图像并生成二值图像，然后生成标注矩阵并用彩色显示，最后确定图像的统计性能(First reads the image and generates a binary image, and then generate the label matrix and displayed in color, and finally to determine the statistical properties of the image)

toolbox for camera calbiration using matlab

使用起来非常方便，小波包分析提取振动信号中的特征频率，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Very convenient to use, Wavelet packet analysis to extract vibration signal characteristic frequency, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

压缩包是统计信号处理中雷达信号检测中的恒虚警处理方法，包括慢门限和快门限的原程序和结果(Archive is a statistical signal processing radar signal detection CFAR methods, including slow shutter limit threshold and the original procedures and results)

用MATLAB 编写的图象纹理分析代码 (Prepared using MATLAB code image texture analysis)

这一程序内涵模糊控制器的FIS程序，可以做基于此做PIDmatlab仿真。(This program connotation fuzzy controller fis program, you can do based on this PID simulation.)

这是国外人写的一本逆合成孔径雷达雷达（ISAR）成像的基础书，文中每章后带Matalb编写的源代码，对于学习新手非常有用。 (It is written by a foreign foundation book inverse synthetic aperture radar radar (ISAR) imaging, the text written in the source code with Matalb after each chapter, very useful for beginners to learn.)

k-means clustering, a very fundamental but also important approach for clustering

一个基于matlab的Svpwm程序，使用S函数实现(Svpwm a matlab-based program that uses the S function to achieve )