A-Genetic-Algorithm-Based-Low-Voltage

神经网络代码,用于区分种类，里面有详细例子(Neural network code)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

已修改调试，可以运行.有图像结果，易以观察结果(it can be used in matlab, because it have amend.)

数字图像处理，（傅立叶变换，小波变换，锐化算法，直方图均衡化等）

说明：  是关于循环阈值处理图像的一种代码，功能很强大，欢迎使用(Cycle threshold processing on the image of a code, function is powerful, Welcome)

可以对振动试验数据进行批量处理，如滤波、消除趋势项、积分等(Vibration test data can be batch processing, such as filtering, to eliminate the trend items, points, etc.)

matlab中采样mp3格式的音频文件的程序，包含注释。(matlab mp3 audio sample rate)

研究高超声速飞行器在纵向的运动情况，对系统的速度和飞行高度进行仿真分析，我们将对在不同的 、 值的条件下分析出系统的最优性能(The longitudinal motion of the hypersonic vehicle is studied, and the system speed and flight height are simulated. We will analyze the optimal performance of the system under different conditions and values.)

算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005. (Algorithm : Jieping Ye. Generalized low rank approximatio ns of matrices. Machine Learning, Vol. 61. pp. 167-191, 2005.)

有效的多用户情况下MIMO-OFDM自适应资源分配算法(Efficient multi-user MIMO-OFDM case, adaptive resource allocation algorithm)