Statistics_Toolbox

适用于MIT-BIH数据库中心电信号的读取，同时做出心电图像(For signal MIT-BIH database center to read, and make ECG as)

输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

说明：  插值的函数 函数名 功能 Language 求已知数据点的拉格朗日插值多项式 Atken 求已知数据点的艾特肯插值多项式 Newton 求已知数据点的均差形式的牛顿插值多项式 Newtonforward 求已知数据点的前向牛顿差分插值多项式 Newtonback 求已知数据点的后向牛顿差分插值多项式 Gauss 求已知数据点的高斯插值多项式 Hermite 求已知数据点的埃尔米特插值多项式 SubHermite 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 SecSample 求已知数据点的二次样条插值多项式及其插值点处的值 ThrSample1 求已知数据点的第一类三次样条插值多项式及其插值点处的值 ThrSample2 求已知数据点的第二类三次样条插值多项式及其插值点处的值 ThrSample3 求已知数据点的第三类三次样条插值多项式及其插值点处的值 BSample 求已知数据点的第一类B样条的插值 DCS 用倒差商算法求已知数据点的有理分式形式的插值分式 Neville 用Neville算法求已知数据点的有理分式形式的插值分式 FCZ 用倒差商算法求已知数据点的有理分式形式的插值分式 DL 用双线性插值求已知点的插值 DTL 用二元三点拉格朗日插值求已知点的插值 DH 用分片双三次埃尔米特插值求插值点的z坐标 (Interpolation function)

使用BP神经网络算法对脑电信号进行分类识别。(BP neural network algorithm using EEG classification.)

基于matlab仿真的四阶椭圆滤波器的仿真，其原理是基于切比雪夫滤波器的传递函数进行推导得来的(Matlab simulation based on fourth-order elliptic filter simulation, the principle is based on Chebyshev filter transfer function is derived come)

matlab 代码，用于积分图计算，对haar特征和adaboost算法学习者是个不错的代码(matlab code used to calculate the integral map of haar features and adaboost algorithm code is a good learner)

说明：  月球软着陆仿真：在停泊轨道上，探测器在脉冲制动的作用下，经霍曼变轨，下降到距月面大约 15 公里的近月点，该近月点就是主制动段的初始制动点。主制动段以下是障碍检测与规避和最终着陆段。在主制动段，由于探测器的初始速度很大(1.692km/s)，所以主制动段制导律设计的主要目的就是高效抵消此速度，将探测器导引到期望的末端状态(Lunar soft landing simulation: in the parking orbit, the probe under the action of pulse braking, through the hohmann change of orbit, to descend to about 15 kilometers from the surface of the moon, the near-moon point is the main braking section of the initial braking point. Following is the main braking section for obstacle detection and avoidance and the final landing section. In the main braking section, since the initial velocity of the detector is very large (1.692km/s), the main purpose of the guidance law design of the main braking section is to effectively offset this velocity and guide the detector to the desired terminal state)

Sliding Sum Averaging Filter Smoothes data by sliding it past itself, one sample at a time, and summing. The length of the output is the same as the length of the input. The output will be normalized. Equivalent to a moving average (lowpass) filter, but more efficient.

说明：  该程序包为用MATLAB编写的一个基于小波变换降噪的软件，有很多值得借鉴的地方(The use of MATLAB package for the preparation of a noise reduction based on wavelet transform of the software, there are many places to learn)

image processing in implementation in matlab