Algorithm-Collections-for-Digital-Signal-Processi

说明：  神经网络的数字识别程序。神经网络的数字识别程序(Neural networks in digital identification procedures. Neural networks in digital identification procedures)

EKF滤波算法估计预测模型和量测模型精度比较高(EKF algorithm prediction error estimation model and matrix )

卡尔曼滤波下的的ARMA、MA、AR模型，比较全面，特别适合初学者入门(Kalman filtering under the ARMA, MA, AR model, a more comprehensive, especially for beginners)

这是对SARS数据进行处理的程序，和对计算拟合结果进行作图的程序，内附数据，比较实用。(This is the SARS data processing procedures, and plotting the results of the calculation fitting program, containing data, more practical.)

A 3-Phase ac Induction Motor Control System Based on the MC68HC908MR32

说明：  瞬时相位法线性调频信号瞬时频率提取技术研究matlab程序并附有一篇找到的论文(a matlab program Instantaneous Phase Linear FM signal instantaneous frequency extraction technique together with a paper)

Parameter identifi cation for a singledegreeoffreedom system using autoregressive moving average model

统计区域合并分割算法，包含实际图像处理程序，能够直接编译运行。(statiscal region merging,which can be used directly to process the image segmentation)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

In Matlab, pcolor won t do a checkerboard square centered on the datapoint, so instead, this forces it into centering the points.