gatbx

加高斯噪声，椒盐噪声，复杂高斯噪声，复杂传统噪声(salt&pepper noise ；gaussian noise ；multiplicative gaussian；multiplicative uniform)

此文件为FIR滤波器设计.m源文件，用于matlab仿真中使用(this document FIR filter design. M source document for the use of Matlab simulation)

PCM编码MATLAB实现，能够在MATLAB环境下实现PCM量化编码，编码效率高，编码易于实现，简单易懂(PCM coding MATLAB, the MATLAB environment to achieve PCM quantization coding, coding efficiency, coding is easy to implement, easy to understand)

关于自适应滤波的MATLAB原程序,包括LMSRLS算法.(MATLAB on the adaptive filtering of the original procedures, including LMSRLS algorithm.)

实现通信系统里面的最基本的几个功能函数，如卷积，DTF，IDFT，已及模拟调制。(Communication systems to achieve a few basic functions inside a function, such as convolution, DTF, IDFT, has been and analog modulation.)

matlab编写的用于插值和拟合的源代码(matlab interpolation and fitting for the preparation of the source code)

余弦小波变换源程序，开发环境为matlab(cosin wavelet transform code using matlab)

基于形态学的方法检测 心电R波 ,用于去除基线，有一定的用处(detect ECG R wave by xingtai method)

This demonstration illustrates measurement distortion due to saturation of a current transformer (CT)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)