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本代码将四阶累积量MUSIC算法和常规二阶MUSIC算法进行SNR性能对比。(The code will be fourth-order cumulant MUSIC algorithm and conventional second-order MUSIC algorithm SNR performance comparison.)

说明：  运用遗传算法对BP神经网络输入自变量进行降维(Dimension Reduction of Input Independent Variables of BP Neural Network Using Genetic Algorithms)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

MATLAB计算画出特定SFW的合成HRR像(MATLAB computing synthetic HRR like to draw particular SFW)

解病态方程的正则化方法、逆问题不适定解的处理与正则化(Regularization method for solving ill conditioned equations)

2DPSK的Matlab的详细产生和调制程序，里面附有代码！！！可用运行！！(2DPSK of Matlab procedures detailed the generation and modulation, which with the code! ! ! Can run)

能量检测，根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考， 在AWGN信道中，给定SNR下，先产生一个原始信号（单音或者BPSK基带信号），然后叠加高斯噪声， 再进行能量检测(Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 series of articles published as a reference, in the AWGN channel, for a given SNR, the first generating an original signal (mono or BPSK baseband signal), and then superimposed Gaussian noise, then the energy detection)

比较实用的MATLAB 程序 需要的可以下载哦(The practical needs of the MATLAB program can be downloaded Oh)

最优化方法中的非线性规划的powell方法的matlab实现，可支持多维的参数，自己修改即可。(optimization of the nonlinear programming method of Matlab Powell realized, support multidimensional parameter can change themselves.)

ASK、PSK和FSK信号的盲识别仿真，仿真产生各类信号，分别可进行大类间的识别和类内识别，统计识别准确率。(Blind Identification ASK, PSK and FSK signal,simulation produces all kinds of signals, and can be identified in the identification between class categories, statistical recognition accuracy.)