process_kang

CS压缩传感的初级教学代码，使用OMP重构，已注释，包括1维信号，2维图像的重构，分别使用dct和小波稀疏，列扫描和分块法进行omp重构(CS compressed sensing primary teaching code using OMP remodeling, already commented, including a 1-dimensional signals, 2-dimensional image reconstruction, respectively, using the DCT and wavelet sparse column scanning and sub-block method omp Reconstruction)

相干光成像 菲涅尔衍射积分的S_FFT算法(S_FFT algorithm coherent light imaging Fresnel diffraction)

采用大津阈值法检测车道线，效果还可以，有需要的可以看看(Using the Dajin threshold method to detect the lane line, the effect is still good, you can see if you need it.)

对于叶片面积的计算，进行图像预处理，灰度转换、直方图、去噪声等，最终计算出叶片面积的像素和。(For the calculation of leaf area, image pre-processing, gray-scale conversion, histogram, to noise, etc., and ultimately calculate the leaf area and the pixels.)

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.)

说明：  利用线性规划问题求解稀疏恢复问题的基追踪（basis pursuit，BP）算法，研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)

对一幅图片批量添加20个级别的噪声，支持添加高斯白噪声和椒盐噪声两种噪声。(Add a picture batch 20 levels of noise, two noise support the addition of white Gaussian noise and salt and pepper noise.)

很好的倒频谱计算程序，可立即生成图形，方便读者理解运用。(very good。)

时频分布处理（重排、图像的信息处理以及Winger-Hough变换）(Time-Frequency Distribution Processing (rearrangements, the image information processing and the Hough transform Winger))

国内权威大家写的信号检测理论,主要讲述了信号理论和估计。(the book is literally book for signal processing,it was use for master students who want to learning signal detect and estimate)