一个脑电波ICA算法进行脑电波提取有用的波段，matlab源程序

IR project ,search in some data

Bayesian classification algorithm based on image threshold segmentation iterative threshold segmentation algorithm for the best environment to run correctly matlab7.0

说明：  二维码检测 用matlab实现的一个简单程序识别特定二维码(qr code detection, a simple algorithm using matlab)

多径信道对数字信号的影响。包含用 matlab 画出信道的幅频响应和相频响应等内容。(Multipath channel to the influence of the digital signal. Contains matlab draw channel amplitude frequency response and the phase frequency response, etc.)

简单的仿真过程，通过输入信号，和s函数可以得到一定的仿真结果(Simple simulation process, the input signal, and s functions can get some simulation results)

针对单片机数据采集系统，用Matlab实现上位机，实现从串口读取采集数据并实时绘制信号波形，包括初始化主机串口、按照通信协议调用回调函数读取数据，并实时刷新波形显示。(For SCM data acquisition system, the Matlab computer, data read the serial port acquisition and real-time signal waveform drawing, including the initialization callback function called the host a serial port, according to the communication protocol to read data, real-time refresh and waveform display.)

数据集来源：美国西储大学轴承实验故障数据以内圈故障、外圈故障、滚动体故障和正常轴承四类为类别标签，构建基于BP神经网络的轴承故障诊断分类模型。模型最终的识别分类精度达到了100%，效果非常好；文件中包含了西储大学的轴承故障实验数据；

说明：  基于LM神经网络的房地产开发风险预测[神经网络实用教程中的实例](LM-based neural network prediction of risk in real estate development [neural network tutorials and practical examples])

这个工具包包含的若干程序之一就是图像滤波与模糊处理的函数，用于图像处理。 包含文件有： .DS_Store, ._.DS_Store, apply_colormap.m, ._apply_colormap.m, barb.png, callback_ti_wavelets.m, ._callback_ti_wavelets.m, change_color_mode.m, ._change_color_mode.m, compile_mex.m, ._compile_mex.m, compute_avi_file.m, ._compute_avi_file.m, compute_dead_leaves_image.m, compute_directional_kernel.m, compute_gabor_filter.m, ._compute_gabor_filter.m, compute_periodic_poisson.m, ._compute_periodic_poisson.m, compute_random_patches.m, compute_ssim_index.m, 等等 (.DS_Store, ._.DS_Store, apply_colormap.m, ._apply_colormap.m, barb.png, callback_ti_wavelets.m, ._callback_ti_wavelets.m, change_color_mode.m, ._change_color_mode.m, compile_mex.m, ._compile_mex.m, compute_avi_file.m, ._compute_avi_file.m, compute_dead_leaves_image.m, compute_directional_kernel.m, compute_gabor_filter.m, ._compute_gabor_filter.m, compute_periodic_poisson.m, ._compute_periodic_poisson.m, compute_random_patches.m, compute_ssim_index.m, )

主成分分析是把多个指标化为少数几个终合指标的一种统计分析方法。本源代码为matlab中源代码，并添加了相应的分析注解-Principal Component Analysis is more than a few indicators as a final indicator of a statistical analysis method. Source code for which the source code Matlab, and add the corresponding analysis notes