1DTFSF.m.tar

matlab下实现降噪，功率谱计算。％程序中设定采样点数为256个，采样频率为10000hz， ％输入信号为随机噪声和两个正弦的合成信号 ％设定的滤波器的截止频率为3500hz ％通过挈比雪肤滤波器，运行程序，比较滤波前后的频域波形 ％滤波去除了高频信号(matlab achieve noise reduction, power spectrum calculation. Sampling procedure set for 256 points, the sampling frequency of 10000hz, input signal for the random noise and the two sinusoidal signals synthetic filter set a cut-off frequency 3500hz manner than through the filter雪肤, run procedures, compared before and after filtering in frequency domain waveforms filtering in addition to high-frequency signals)

四个光孤子的独立波解同时存在于一个方程中。这里是在MATLAB中的编程。(The independence of the four soliton wave solutions exist in a equation. Here is the programming in MATLAB.)

this code implemente a blind watermarking

An example of inverse kinematics algorithm

说明：  基于matlab实现的界面，可以对八路信号实行DFT的8点和16 点变换(Matlab based on the realization of the interface can be implemented on the eight-way signal DFT of 8:00 and 4:00 p.m. transform)

模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。 (Simulated annealing algorithm derived from solid annealing principle, the solid is heated to a sufficiently high, let it cool slowly, when heated, solid particles with temperature becomes disordered state, the internal energy increases, while slowly cooling the particles gradually increasingly ordered at each temperature to reach equilibrium, and finally reach the ground state at normal temperature, which can be reduced to a minimum.)

bpsk simulation with awgn

Code in matlab about processing signals

Matlab的入门教程PPT 1、MATLAB 7简介 2、MATLAB 7安装方法 3、基本的使用方法 4、数值向量和数组 5、字符串、单元数组和结构 6、符号运算 7、图形运算 8、图形处理 9、GUI图形设计 10、MATLAB 7程序设计(Matlab Tutorial PPT 1, MATLAB 7 Introduction 2, MATLAB 7 installation methods 3, the basic use 4, numerical vectors and arrays 5, strings, cell arrays and structures 6, symbolic computation 7 graphics computing 8 graphics processing 9, GUI Graphic Design 10, MATLAB 7 Programming)

说明：  EEMD的工具箱，包括EEMD分解，希尔伯特变换等，以及一系列EEMD相关的程序(EEMD toolbox, including EEMD decomposition, Hilbert transformation, and a series of EEMD related programs)