quadcopter

基于Matlab的高通滤波器的设计源码，可以通过此代码，模拟高通滤波器的设计。并附有仿真后的图像。(Matlab-based high-pass filter design source code, this code can simulate the high-pass filter design. Together with simulation, the image.)

关于距离扩展目标-MN检测方法的matlab实现程序(Matlab on goal from the extended-MN detection method to achieve program)

masking of an image with diffrent size

在大数据处理时常用的一种线性鉴别方法，里面有讲解和源代码程序(When large data processing methods commonly used linear discriminant, there are explanations and source code)

main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting. A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform. * Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets.

This file can be used for generation of LTE PRACH preambles as per zadoff chu sequences

用matlab进行数字下变频和上变频处理，作为例子，供大家做实验、完成作业使用！(Use matlab for digital down-conversion and up-conversion processing, as an example, for you to do experiments, complete the operation use!)

This code sorts a integer vector using QuickSort with p-threads.

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

Determinant of the permutation matrix with rows ordered by p.