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只是关于matlab数据拟合的一篇教程，非常详细，希望对大家有帮助。(Only on data fitting matlab tutorial, very detailed, we want to help.)

线性及卷积混合信号盲源分离论文及算法 全是算法,看不懂也不要下了,慢慢看,免费的 (Linear and mixed-signal convolution papers and blind source separation algorithms are algorithms, do not know do not look down, and slowly watch, free)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

说明：  硕士论文，介绍关于QAM系统中定时同步的方案。(Master s thesis about the Timing on QAM systems)

an neutral fuzyy application in matlab

数据快照的特征提取，获得基模态、特征值和模态系数，以及数据的后处理。(Feature extraction of data snapshot, obtaining basic modes, eigenvalues and modal coefficients, and post-processing of data.)

暂时只支持jpeg2000支持的 cdf97 和spline53 可以这样来测试： x=imread( E:studyjpeg2000imageslena.tif ) ％ see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y)) ％ see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2)) (only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : study jpeg2000 images lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2)

使用matlab语言实现现代信号处理_谱估计_周期图法(Modern Signal Processing PSD Period Graph Method.)

A detail Matlab simulation code example for BFSK performance

说明：  多极坐标搜素，一个局部与全局最优的兼容方法(Multi-polar search element, a local method is compatible with the global optimum)