Butter

N=11，41，81，121时，用矩形窗设计一个低通FIR滤波器，其剪切频率wc＝0.3л(N = 11,41,81,121, the rectangular window design with a low-pass FIR filter, its cut frequencies wc = 0.3л)

说明：  怎么在函数中加入高斯噪声，白噪声，比较它们的性质，并求它们的相关性(how to insert gaosi noise,white noise and then how to konw their correlation)

研究用于自适应均衡器的LMS算法的性能，数据源产生有零平均和单位方差的由符号+1和-1组成的Bernoulli的序列{I(n)}.数据源之后的信道可以用升余弦脉冲响应来模拟。 (study for the adaptive equalizer LMS algorithm performance, Data Sources have zero mean and unit variance from the-1 and a symbol of the Bernoulli sequence (I ( n)). Data Source after the channel can be raised-cosine pulse response simulation.)

Unit Commitment for generating power systems, by Dynamic Programming

雷达信号产生的小程序 对初学者比较有用 用软件自带的函数实现(Applet radar signal produced more useful for beginners comes with software functions to achieve)

image processing S7_morphological_filtering

搭建的10W小功率太阳能电池模型，可根据实际情修改太阳能光伏电池的功率、短路电流、开路电压、额定电流和额定电压(Solar photovoltaic power generation system)

说明：  最优化学习的Matlab程序:包括最速下降法,黄金分割法,曲线拟合等.(Matlab optimization learning process: including the steepest descent method, golden section method, such as curve fitting.)

说明：  matlab的GUI设计，实现摄像头的无人监控拍照，可以实现定时功能。(matlab GUI design, implementation, unmanned surveillance camera pictures, you can achieve timing.)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)