magnitude-calc

邻接灰度共生矩阵（NGLDM）特征提取程序(Neighboring Gray-Level Dependence Matrix Feature Extraction)

说明：  对一个数组进行操作，删除其中的0元素！ 输入：数组、相应的列Index。 输出：删除0元素之后的新数组！(Operate on an array, delete the 0 element! Input: an array, the corresponding column Index. Output: 0 elements after the deletion of a new array!)

说明：  关于cdma用MATLAB进行仿真 源码(Simulation on the MATLAB source code with cdma)

基于dct变换的数字图像水印算法研究,系统研究分 析了经典的DCT变换域的数字水印算法 (Dct transform based digital image watermarking algorithm, the system analysis of the classical DCT transform domain watermarking algorithm)

Support API for core#2 of custom system on chip. Release version

超声波空化的气泡动力学计算程序例子，并绘制气泡膨胀溃灭图(Ultrasonic Cavitation bubble dynamics calculation examples, and the mapping of the bubble collapse expansion plans)

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

ABOUT SAR INTERFEROMETRY

Two Novel Ways for Low Voltage Ride-through of DFIG

线性卷积和循环卷积的matlab生成，源程序为此(Linear convolution and circular convolution matlab generate, source code)