wind_rose

基于小波的纹理特征，小波四层分解，特征向量含有均值、标准差、空间频率等，共13*4个特征。(Based on texture feature of wavelet, wavelet decomposition, four layers of characteristic vector containing the mean, standard deviation, such as spatial frequency, a total of 13* 4 characteristics.)

digsilent软件平台下关于最优潮流计算的仿真(digsilent software platform simulation on optimal power flow calculation)

利用熵值法判断某个指标的离散程度的。在信息论中，熵是对不确定性的一种度量。信息量越大，不确定性就越小，熵也就越小;信息量越小，不确定性越大，熵也越大。根据熵的特性，我们可以通过计算熵值来判断一个事件的随机性及无序程度，也可以用熵值来判断某个指标的离散程度，指标的离散程度越大，该指标对综合评价的影响越大。 因此，可根据各项指标的变异程度，利用信息熵这个工具，计算出各个指标的权重，为多指标综合评价提供依据。(Using entropy method to judge the degree of dispersion of a certain index.)

QPSK/BPSK在多径信道下经过LMS均衡器之后的误码率曲线(QPSK/BPSK BER curve after LMS equalizer in multipath channel)

信号，噪声，信号加噪声，FFT，matlab仿真,时域波形，频谱图(Signal, noise, signal plus noise, FFT, Matlab simulation, time-domain waveform, spectrogram)

2D MATLAB EFG CODE - SQUARE DOMAIN(2D MATLAB EFG CODE- SQUARE DOMAIN)

此示例说明了如何提供ActionBarCompat一个上下文敏感的ShareActionProvider，向后兼容的API V7。(This sample shows you how a provide a context-sensitive ShareActionProvider with ActionBarCompat, backwards compatible to API v7.)

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

I think this book will help you in signal processing

说明：  利用神经网络智能识别技术，识别车牌号吗，效果明显(Neural network intelligent recognition technology to identify license plate number you, obvious effect)