Hilbert_Huang-draw

matlab数字滤波器，cic，hb，fir 滤波器 欢迎参考(Matlab digital filters, cic, hb, welcomed the reference filter fir)

this file is a zip file for multi objective optimization by matlab.

通过一个数字信号功率谱分析程序设计的实例，详细地介绍了Visual c++和Matlab通过 engine引擎接口进行混合编程的技术，在信号处理的软件开发中采用这种方法可以提高软件开发 的效率和可靠性。(Digital signal through a power spectral analysis of programming examples, detailed description of the Visual c++ and Matlab engine through the engine mixed programming interface technology, signal processing in software development this approach can improve the efficiency of software development and reliable sexual.)

基于MATLAB的IIR数字滤波器的设计基于MATLAB的IIR数字滤波器的设计基于MATLAB的IIR数字滤波器的设计(MATLAB-based IIR digital filter design is based on MATLAB for IIR digital filter design is based on MATLAB for IIR digital filter design)

capon算法，主要应用于波达方向的估计和波束形成的分析仿真(Capon algorithm, mainly used in DOA estimation and beamforming analysis of simulation)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

MIMO-OFDM Wireless Communications with MATLAB 电子书，书中含详细说明以及源码(MIMO-OFDM Wireless Communications with MATLAB)

说明：  神经网络的计算，包括训练和测试两部分，利用的是最小均方误差算法。(Nerual network calculation,including training and working part,utilizing MMSE algorithm.)

说明：  很好的matlab实用程序，从光盘中拷出来的。(Matlab good utility, from the CD-ROM copy from.)

小波包分解重构程序，克服小波分解在高频段的频率分辨率较差(Wavelet packet decomposition and reconstruction program, overcome the wavelet decomposition in the poor frequency resolution in high frequency )