kalman

analytical method of classification

这个程序实现了OFDM利用多种PST方法进行减小PAR (Use some method of PST to Reduce the PAR of OFDM )

Imperialist Competitive Algorithm (ICA)

本程序实现将一幅高分辨率图像平均分成四幅低分辨率图像，（稍微修改即可任意等分）像素没有损失。(Image division。)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

matlab图像处理，利用高地帽变换进行增强(matlab )

说明：  基于短时能量 短时过零率 自相关函数的语音清浊分类算法(Zero based on short-term rate of short-term energy autocorrelation function of speech voicing classification algorithm)

这个文件为粒子滤波算法的matlab源代码程序。(Particle filter)

复参数最小二乘估计方法,最小二乘类参数估计方法是一种实时性很强的一种数据处理方(Least squares estimation for complex)

经典的信息论准则估计信号源个数。 使用空间谱估计理论，模拟发射信号由天线阵列接受采样。经过AIC和MDL两种算法，估计出采样序列中信号的个数，所加噪声是白噪声。(Classical information theory for sources number estimation. It s spatial spectrum estimation theory. it analogs transmission signal from the antenna array . It uses two algorithms“ AIC and MDL ”to estimate the number of sampled signal sequence. the added noise is white noise.)