HHT_forier

Maple 中文实践教程（基础篇）(maple course of study)

用JACOBI迭代法求解线性代数方程组，此迭代法是数值计算基本方法之一。(Use JACOBI iterative method for solving linear algebraic equations, and this iteration method is one of the basic method of numerical calculation.)

基于纹理结构的图像检索，matlab实现。(Texture-based image retrieval, matlab achieve.)

说明：  模拟信号数字化的PCM量化以及哈夫曼编码(analog signal to the PCM digital quantification and Huffman coding)

blood vessel extraction

说明：  Matlab中野人与传教士过河问题实例源代码(Matlab savage and missionaries across the river example source code)

求解无约束问题最优化问题的基础方法之一：高斯牛顿法(Gauss-Newton methon)

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)

遗传算法，粒子群算法，蚁群算法，人工鱼群算法，BP神经网络，支持向量机等算法案例分析及源码(Genetic algorithm, particle swarm optimization, ant colony algorithm, artificial fish swarm algorithm, BP neural network, support vector machine and other algorithm case analysis and source code)

这个是芬兰人写的《WCDMA无线网络规划与优化》书上对应的Matlab源代码。这本书很经典。(this is the Finns write "WCDMA Wireless Network Planning and Optimization" book on the corresponding source Matlab code. This book classic.)