New-Compressed-(zipped)-Folder

matlab的时频分析技术，通过大量的实例循序渐进的对各种时频分析方法进行讲解(matlab time frequency analysis, step by step through a large number of examples of the various time-frequency analysis methods to explain)

indoor propagation model

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

根据GSM协议，实现8PSK调制。其中OPSK是主函数(According to the GSM protocol, to achieve 8PSK modulation. Which is the main function OPSK)

CACAL Calibration routine for computing the camera parameters. The initial values are solved by using the DLT method and the final parameter values are obtained iteratively

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)

计算两幅图像的SNR信噪比的源代码MATLAB版(Calculation of two images PSNR peak signal to noise ratio of the source code version of MATLAB)

复杂网络社团划分算法中的模拟退火算法，ｍａｔｌａｂ实现的(Complex network of associations into the simulated annealing algorithm, matlab implementation)

一种用Matlab实现的基于小波变换的音频数字水印.(A Matlab realization of wavelet transform-based audio digital watermarking.)

2fsk信号的MATLAB调制，已运行过，正确(2fsk MATLAB signal modulation, has been run over, the correct)