suanshubianma

C语言编程，利用矢量量化思想进行图像有损压缩和解压缩(C language programming, using vector quantization thoughts lossy image compression and decompression)

数字图像快速傅里叶变换（FFT）。将图像转化成二维灰度图像后再做FFT变换，并输出变换后的幅值图。(Digital image fast Fourier transform (FFT).The image is transformed into a two-dimensional gray level image and then the FFT transformation is made, and the amplitude diagram is output after the transformation.)

Keystone Transform in ground moving target detection，it s very useful new comer(Keystone Transform in ground moving target detection)

超分辨率POCS（投影到凸集集合理论复原方法）算法代码(The POCS super-resolution algorithm code)

高斯混合模型的源代码。从文件中读取数据，用三个高斯混合模型进行处理(Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing)

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

基于CFAR虚警率的图像分割算法，可快速对灰度图像进行CFAR检测分割。(Based on the false alarm rate of CFAR image segmentation algorithm, the gray image can be fast CFAR detection and segmentation.)

利用TMS320VC5509A为核心的DSP处理硬件,通过软件实现自适应Notch滤波和瞬时频率序列方差检测(VIRD)运算,在较低信噪比使用条件下完成对单频测距信号的可靠检测和判定(Using tms320vc5509a DSP core processing hardware, adaptive notch filter and variance of instantaneous frequency sequence detection (Vird) operation is realized by software, in low signal to noise ratio under the conditions of use complete reliable detection of single frequency ranging signal and judging)

说明：  最大类间差法对视网膜血管进行分割，亲测有效。(The method of maximum class difference is effective for the segmentation of retinal vessels.)

设计GUI界面，方便用户录制原始语音信号，加入噪声并选择滤波器滤除噪声。(Designed GUI interface, user-friendly recording of the original speech signal, adding noise and select a filter to filter out noise.)