distancevector

广义霍夫变换边缘提取代码，目标是针对图像中某一标识，进行识别和提取(Generalized Hough transform edge detection code, the goal is for the image of a logo, to identify and extract)

这是Matlab初学者编写的小程序，内容简单明了，比较适合刚入门的人学习(This is a small program written in Matlab beginners, the content is simple, more suitable for people just getting started learning)

说明：  压缩传感理论仿真的一个实际例子，稀疏信号的恢复。(Compressed sensing theory of simulation of a practical example of sparse signal recovery.)

功率谱密度函数，AR谱估计方法，Burg递推算法(The power spectral density function, the AR spectral estimation method, the Burg recursive algorithm)

说明：  该算法为专家PID控制原代码 用MATlab开发，能够管直接运行(The expert PID control algorithm for the original code using Matlab development, to pipe directly to run)

说明：  应用于稀疏表示的KVSD算法，MABLAB(KVSD algorithm applied to sparse representation, MABLAB)

本设计采用了一种基于三参数组合的方法对语音信号进行了清/浊音判决。在传统两参数（短时能量和过零率）算法基础上增加了自相关函数作为判决参数，减少了清/浊音信号误判率。(This design uses a combination of methods based on three parameters of the voice signals of the Qing/voiced sentence. In the traditional two parameters (short-term energy and zero crossing rate) algorithm based on the increase since the correlation function as a decision parameter, reducing the clearance/voiced signal false positives.)

关于指北方位的惯导平台应用，通过此平台来仿真计算星体的姿态位置(Refers to the INS on the north-bit platform application, through this platform to star attitude position simulation)

Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function conv2fft performs a 2D FFT-based convolution. Type help conv2fft on MATLAB command window for more informations.

this paper examines the specific role played by a key component of OSNs: the extremely popular and widespread set of third-party applications on some of the most popular OSNs. With over 81,000 third-party applications on Facebook alone, their impact is hard to predict and even harder to study.