L=2CPMviterbi

用matlab编的神经网络程序，希望对大家有帮助(Matlab made by the neural network procedures, we hope to help)

s-function course book

1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。 2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。(1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50. 2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation.)

在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。(In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ).)

是基于软件无线电的智能天线技术研究的基本文章，是全英文的不错的。(Is based on software radio smart antenna technology basic research articles, is good in English。)

MATLAB入门教程，十分适合初学MATLAB者学习使用，内容很详细。(MATLAB Tutorial, very suitable for beginners who learn to use MATLAB, the content is very detailed.)

运用MMSE方法的波束形成，对空间信号起滤波作用(MMSE method for beamforming)

光伏电池的matlab模型，温度变化时的pu曲线和iu曲线(Photovoltaic cell temperature change curves of pu and iu curve)

概率数据互联算法，何友《雷达数据处理》7.3.3应用实例(The process of optimizing the algorithm can be obtained by bringing it into the calculation formula of probability data interconnection (PDA) algorithm.)

The idea of a filterbank on a non-linear(mel) frequency scale(filter bank for mel)