SPIHT_Matlab_Demo

PSK信号的产生并且基于NANDI经典算法的信号识别的程序(Generating and signal recognition based on classical algorithm NANDI program PSK signals)

求小波分析后各层系数的功率谱值，希望对大家有所帮助( 自动检测语言 划词 双语对照 中文 » 英语<~复制 For each layer coefficient after wavelet power spectrum values, hope to be of help )

4位QAM数字调制解调和16位QAM数字调制解调的matlab实现(4 QAM digital modulation and demodulation, and 16 QAM digital modulation and demodulation matlab realization)

日前调度计划，对负荷、风电、光伏、燃气轮机、蓄电池的日前出力计划进行调度，实验粒子群算法，获得运行成本最优调度计划(Recently scheduling, load, wind power, photovoltaic, gas turbines, battery output plan before scheduling, particle swarm optimization experiments to obtain optimal scheduling operating costs)

Using Advanced Signal Processing Techniques on Ambient Vibration Records of a Structure

蚁群算法是目前应用最广的智能算法之一，该程序应用蚁群算法求解最优路径(Ant colony algorithm is one of the most widely used intelligent algorithm, the program ant colony algorithm for optimal path)

下雨的falsh源码，简单高效的程序。一学就会。(Rain falsh source, simple and efficient procedure.)

k-means聚类,用于聚类研究的基本算法，值得学习。(k-means cluster)

数值计算中机器精度的确定算法 MATLAB源程序 自带注释(machine precision)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.