integral_volume

visual c＋＋和matlab结合的例子程序(visual c++ and Matlab combination of example programs)

说明：  均匀组织的光场分布，光源和检测器的方向只能竖直向下(Uniform tissue distribution of light, the direction of the light source and detector can only be straight down)

RFID室内定位的相关算法，对传统的基于RSSI定位模型进行改进。(RFID indoor positioning)

MATLAB遗传算法工具箱及应用 这是一本不错的书(MATLAB genetic algorithm toolbox and its application..it is a good book!)

模糊聚类iris标准数据测试。。。采用fcm方法。(Fuzzy clustering iris standard test data)

对实际测得坐标实现圆拟合，前提是几何形状近似圆(The actual measure coordinates are fit to a circle, provided that that geometry approximates the circle)

Energy efficient algorithm based on clustering in wireless sensor networks. Use of primary and secondary cluster heads for data gathering procedures.

正交频分复用是一种多载波宽带数字调制技术。相比一般的数字通信系统， 它具有频带利用率高和抗多径干扰能力强等优点，因而适合于高速率的无线通信系统。( OFDM Simulator -------------------------------------------------------------------------------- MIMO OFDM Simulator: OFDM.m: OFDM Simulator (outer function) create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile. svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes. BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance. ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel). chow_algo.m: Apply Chow s algorithm to generate a particular bit and energy allocation. EnergyTableInit.m: Given the SNR values, form a table of energy increments for )

查找图像直方图波谷，用低通滤波方法去除毛刺，求导方法求峰值，可能有相位滞后(find the valley of a histogram)

显示采样率的GUI源码，包括理想采样，零阶保持采样，和其他一些方式。对于学习和理解采样定理很有帮助(Show the sampling rate of the GUI source code, including the ideal sampling, zero-order to keep sampling, and some other way. For learning and understanding of the sampling theorem helpful)