coal_forecast

基于matlab写的HCM和FCM程序，以及快速算法KFCM算法，对写毕业设计的很有用(Based on matlab HCM and FCM written procedures and fast algorithm for writing, KFCM algorithm of graduation design is very useful)

本段Matlab是运动员心跳信号检测项目一个心跳信号出噪仿真程序，文件给出了心跳信号的样本，是一完整的数字信号处理应用程序。(This paragraph is an athlete heartbeat detection Matlab project a heartbeat out noise simulation program, document gives a sample of the heartbeat is a complete digital signal processing applications.)

说明：  和声搜索算法，进行参数改进，并且对程序的模块做细致的说明(Harmony search algorithm, carry on the improvement of parameters, and the program module for detailed instructions )

基于MATLAB的原理应用，此程序可实现2d的吸收边界算法，比较简单(This MATLAB M-file implements the finite-difference time-domain solution of Maxwell s curl equations over a two-dimensional Cartesian space lattice comprised of uniform square grid cells.)

精通matlab金融计算 Financial_Time_series_analysis in Matlab(Financial_Time_series_analysis in Matlab)

对声音信号进行处理，通过播放来检验处理效果，采用维纳滤波法进行滤波。有详细注解(voice signal processing, using weina.)

以高斯函数为载波的PPM调制解调，及于理想误码率曲线相比较的误码率曲线(Gaussian function of PPM modulation and demodulation of the carrier, and the desired BER curves compared to BER curves)

说明：  在MATLAB中表示信号的常规格式是向量或者矩阵。本示例中利用randint 函数来产生一个表示二进制数据序列连续值的列向量。其中二进制数据序列的长度（即为列向量中的行数）设置为30,000。 下面的代码同时还绘制了数据序列的杆图（stem plot），用来显示数据的0、1值。你所产生的图可能与次示例中的图有一点不一样，这是因为本示例中应用了随机数。 (Said signal in MATLAB conventional format is a vector or matrix. In this example use randint function to generate a column vector of a sequence of binary data, said successive values. Wherein the length of the binary data sequence (i.e., the number of rows in the column vector) is set to 30,000. The following code sequence of data is also plotted in Fig rod (stem plot), the value 0 is used to display the data. You may have generated the second example of FIG FIG little different, this is because the present example, the application of the random number.)

用于matlab环境下读取指定目录下的图像(Environment for matlab to read the image under the specified directory)

说明：  基于MATLAB的源SVM程序包，请试用(based on MATLAB source SVM package, please try)