Kerne-Fisher-Progection

基于MATLAB用于检测提取的语音信号的平均短时过零率的算法，可以方便的检测出是清音还是浊音。(Algorithm based on the MATLAB for detecting extracted speech signal average short-term zero-crossing rate, you can easily detect the voiceless or voiced.)

灰度拉伸是分段进行线性变换，对红色，绿色，蓝色三分量进行统一的分段线性变换，以增强图像对比度 (Gray-scale stretch is sub-linear transformation of the red, green, blue three-component unified piecewise linear transformation, to enhance the image contrast)

频谱估计 讲的比较详细 里面的ppt文件还有解释 值得一看(spectrum estimation)

说明：  使用Fisher 现行判别函数对给定的样本进行训练，对于两类，Fisher线性判别函数很好做，就是 w = Sw (m1 - m2), 其中：Sw为总类内离散度矩阵， m1, m2, 为两个模式类的均值(Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class)

parses iptv channel data

Finds the roots of a function using the arc-length method

通过加载瑞利噪声的回波进行CFAR操作，完成信号的恒虚警检测仿真(The CFAR is operated by loading the echo of Rayleigh noise, and the CFAR simulation of the signal is completed)

对导向矢量进行性自适应估计鲁棒自适应波束形成代码，基于SQR的对导向矢量进行估计(RABF based on Steer vector estimation)

LZ复杂度反映的是一个时间序列中，模式数量序列长度增加的速率。为了在计算机上对连续信号的复杂度进行计算，需要先将连续信号离散化，通过预处理后的心音信号符合这个要求。实现心音信号的分离(LZ complexity reflects a time series model number sequence length to increase the rate. For a continuous signal on the computer, the complexity of the calculation, you need to first discretize the continuous signal by pretreatment of the heart sound signals meet this requirement. To achieve the separation of heart sound signals)

现代信号处理第6章中的例子35，36，38可绘出相应图像(Modern Signal Processing Chapter 6 cases 35,36,38)