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The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.(The optimum standard Kalman filter demand 's complete knowledge of the system parameters. the input forcing functions. and the noise statistics. Several adaptive met hods have already been devised to obtain the unk nown information using the measurements and th e filter residuals.)

The (a) section of Figure 1 illustrates the Line Echo Canceller (LEC) residing in the access network where echoes occur. Other voice processing modules, such as Automatic Level Control (ALC) and Noise Reduction (NR), are shown merely for illustration purposes. On the terminal side, both acoustic and electrical echo can occur. If the voice terminal is a speaker telephone set with an open acoustical path from the speaker to the microphone, the effect of acoustical echo is combined with the effect of the network echo. Because there is only a miniscule delay between the electrical signal and its echo, the speaker/listener is exposed to an effect known as side tone. Typically, instead of mounting a LEC at the terminal, side tone circuitry is placed to control the amount of the returned energy. The (b) section of Figure 1 shows examples of echo canceller signals representing the following:

matlab源码，利用遗传算法求解30个城市的tsp问题(matlab source code, the use of genetic algorithm to solve 30 problems tsp city)

宽带相干信源DOA估计及其阵列校正方法 (Broadband DOA estimation of coherent sources and array calibration method)

一连续平稳的随机信号x(t)，自相关函数RX(t)=e-/t/，信号x(t)为加性噪声所干扰，噪声是白噪声，测量值的离散值Z(k)为已知，TS=0.02s。 -3.2，-0.8，-14，-16，-17，-18，-3.3，-2.4， -18，-0.3，-0.4，-0.8，-19，-2.0，-1.2，-11，-14，-0.9，0.8，10，0.2，0.5，-0.5，2.4，-0.5，0.5，-13，0.5，10，-12，0.5，-0.6，-15，-0.7，15，0.5，-0.7，-2.0，-19，-17，-11，-14。 自编卡尔曼滤波递推程序，估计信号x(t)的波形。(A continuous stationary random signal x (t), the autocorrelation function RX (t) = e-/ t /, the signal x (t) is additive noise of the interference, noise is white noise, the measured value of the discrete values ​ ​ Z (k ) are known, TS = 0.02s. -3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4,-18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14 ,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14. Self Kalman filter recursive procedure, the estimated signal x (t) waveform.)

Wavelets and Filter Banks Wavelets and Filter Banks Mallat Mallat pyramid algorithm pyramid algorithm

正弦波逆变器程序图以及代码实现,是用mplab实现的(sina inverter)

Antenna near conducting cylinder-Analytic and Numeric(FDTD)

CA models simulation

说明：  k均值聚类的RBF神经网络能够有效的预测回归模型，便于节省空间(K-mean matlab k you know w is mean x you can desplay)