线性调频信号，脉冲信号ambiguity-function

Evaluates the finite element linear basis function. and sets up the geometric data.

AUTOMATIC SPEAKER RECOGNIZATION AND IDENTIFICATION USING GMM.HERE READ SIGNALS FROM EAR PHONES

说明：  《matlab智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的matlab实现。本书共给出30个案例，每个案例都是一个使用智能算法解决问题的具体实例，所有案例均由理论讲解、案例背景、matlab程序实现和扩展阅读四个部分组成，并配有完整的原创程序，使读者在掌握算法的同时更能快速提高使用算法求解实际问题的能力。本书可作为本科毕业设计、研究生项目设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(All the cases in the book are carefully designed for the immediate needs of users of major matlab technology forums in China, and the contents and solutions of many cases are rarely introduced in the published matlab books in China.)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)

使用matlab实现电子波动性和粒子性的演示(Use matlab electronic fluctuations and particle demo)

用Kalman滤波方法估计目标航迹的Matlab源程序(Kalman filtering method estimates the target track Matlab source)

This implements Lie-derivative based complete observability analysis for relative localization using equabilent relative measurement model.

高光谱图像的nfindr算法用于端元提取(gaoguangputuxiangdenfindrsuanfayongyuduanyuantiqu)

盲源分离中最为经典的不动点算法——FastICA,该算法简单，对初学者有很大的帮助(Blind Source Separation in the most classical fixed-point algorithm- FastICA, the algorithm is simple, for beginners there is a great help)

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)