write-binary-data

Matlab Wireless Communications 应用例程(Routine application of Matlab Wireless Communications)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

进行Iris数据分类实验，使用matlab构建bp神经网络(Iris data classification experiments, using matlab to build the bp neural network)

智能天线中多单元圆形天线阵的波达方向估计(Smart antennas in multi-element circular antenna array of the Direction of Arrival Estimation)

采用神经网络 对交通流进行预测，MATLAB源程序(traffic flow)

This is the Adaboost matlab code.

it is for macrowawe and antenna that is very good

一篇非常好的国外的调制识别的文章，做调制识别的可以看看。(A very good modulation recognition of foreign articles, to do modulation recognition can look at.)

说明：  利用FFT快速运算技术来实现在二维图像领域上的稀疏分解过程。(The use of FFT techniques to achieve fast computing in the field of two-dimensional image of the sparse decomposition process.)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)