MATLABlanguagecommonlyusedalgorithmforassembly

说明：  用DCT算法做数字水印，水印为伪随即序列。对整个图做DCT变换(DCT algorithm used as a digital watermark, watermark for the pseudo-then sequence. The entire plan to do DCT)

时兴的前推回代算法程序，可用于求解辐射状配电网三相潮流。(Forward-Backward Sweep algorithm for three-phase load-flow analysis of radial distribution systems.)

dear sir i have uploaded a few programs for your consideration

通信中位同步的gardner算法的matlab仿真(Communications Synchronization gardner of the Matlab simulation algorithm)

本文主要讲解了用shearlet变换来压制地震面波(shearlet transform)

包括4天线准正交码的编码和解码程序，其中解码程序包括部分行的合并解码(Including 4 antenna quasi-orthogonal code encoding and decoding procedures, which include decoding part decoding the combined line)

基于特征点的全自动无缝图像拼接程序和算法研究(Research programs and automatic seamless image mosaic algorithm based on feature points)

RLS算法,编写了MATLAB程序实现自适应干扰对消.给出信号实例,用于验证所编写程序的性能(RLS algorithm, written MATLAB program to achieve adaptive interference cancellation. Given the signal instance, used to validate the performance of the programming)

提供了MATLAb针对光谱数据分析的PLS算法(MATLAB sepctronic ’s pls)

Simulate queueing In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model(In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model)