dtc_dadianji-and-svm_dadianji

codificacion huffman

faster corner detection matlab code

一个好用的鸡群算法程序，供新手学习使用，可在网上找相关资料(A good CSO program,for beginners to learn and use,,you can find relevant information online.)

appplication deployment matlab

基于平行等距均匀线阵的信号频率，方位角，俯仰角联合估计，采用MUSIC算法 (Based on uniform linear array of parallel equidistant signal frequency, azimuth, pitch angle joint estimation using MUSIC algorithm)

异步电动机转子串电阻分级启动过程的MATLAB仿真大家一起学习(Rotor induction motor to start the process of classification Series Resistance MATLAB simulation we study together)

Mpeg压缩的C++源代码，对于图像压缩，视频压缩，图像编码领域的朋友很有用(Mpeg compression of the C++ source code, for image compression, video compression, image coding friends useful)

matlab图像处理的一些代码集合，需要的自己来下载(image processing matlab code of some collection of their own need to download)

本书提供RF非线性功放行为建模，从基本概念到设计准则特别是各种经典及当前的建模技术。 作者DOMINIQUE SCHREURS(RF POWER AMPLIFIER BEHAVIORAL MODELING. This book provides a comprehensive treatment of radio-frequency (RF) nonlinear power amplifier behavioural modelling, from the fundamental concepts and principles through to the range of classical and, especially, current modelling techniques.)

比较两个netcdf文件 1。通过添加内部ind2sub1函数remove函数依赖第三方 2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models. USAGE: NCCMP(ncfile1,ncfile2) NCCMP(ncfile1,ncfile2,tolerance,forceCompare) INPUT: ncfile1- name of the NetCDF file to compare ncfile2- name of the NetCDF file to compare tolerance- Compare numeric data using a tolerance threshold forceCompare- if false, exit when first difference is found true: continues to process all variables EXAMPLES: nccmp( old.nc , new.nc ,0.000001) nccmp( old.nc , new.nc ,[],true) FEATURES: 1. Print the differences and their locations 2. Exits when first difference is found or optionally continues to process all variables 3. User defined tolerance threshold to compare the variables TO DO: 1. Specific variable inclusion or exclusion 2. Specific attribute inclusion or exclusion 3. Option to ignore the history attribute 4. Ignore difference between v)