sample-theory-demo

text line segmentation

固定步长和变步长批处理自然梯度语音盲分离算法，包括主程序和调用程序。(Fixed step and variable step-size batch natural gradient algorithm for blind separation of speech, including the main program and the calling program.)

multi layer perceptron il suffit juste de fair entrer l enter et sortie désiré

格子Boltzmann方法，D2Q9模型，模拟多孔介质流动(Lattice Boltzmann method, D2Q9 model to simulate the flow in porous media)

说明：  整个ofdm系统仿真的全过程，包括qpsk的调制解调等(The whole process of OFDM system simulation, including QPSK modulation and demodulation)

倒谱的matlab实现,先用cool edit 软件录制歌曲(the relization of cepstrum of Matlab)

带有反馈的逆变电路，可实现DC/AC转化，反馈电路由PWM波控制(Inverter circuit with feedback)

利用各类插值的方法，对无线或者其他信道进行估计。插值包括2次、3次等(The use of various types of interpolation methods, or other wireless channel estimation. Interpolation of 2 times, 3 second-class)

说明：  附件中包括： 1.叉积自动频率控制（CPAFC）matlab源代码cpafc.m 2.相应的am调制的测试信号am.dat ，载波500Hz，采样8000，调制信号50Hz,32 位float(Accessories include: 1. Cross product auto frequency control (CPAFC) matlab source code cpafc.m 2 . corresponding test signal modulation am am.dat, carrier 500Hz, sampling 8000, modulated signal 50Hz, 32 位 float)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.