chaoliujisuan

说明：  语音识别特征提取程序，对语音分析很有帮助(Speech recognition feature extraction procedures, helpful speech analysis)

C++ 生成Code编码 流程检查等多功能实现 实际问题都 可以解决(if you want this please find)

SAR成像算法，个人理解后编写，注释清楚，对于初学者十分有帮助(Synthetic aperture radar imaging algorithm after understanding individual written comments clear, very helpful for beginners)

基于高斯白噪声信道采用M-QAM调制技术的系统，分组错误概率与信噪比函数关系的matlab仿真程序(Gaussian white noise channel with M-QAM modulation system, packet error probability and SNR function of matlab simulation program)

在matalab开发环境下的实现时域信号多尺度的分析，可用于信号的特征抽取和故障诊断(Multi-scale analysis of time-domain signal achieved in matalab development environment can be used for feature extraction and fault diagnosis signal)

分类对比开发系统，能够通过设置不同的参数对数据进行分类，得到不同分类结果。(Classification contrast development system by setting different parameters can classify the data, get different classification results.)

Bandwidth (signal processing) or analog bandwidth, frequency bandwidth or radio bandwidth: a measure of the width of a range of frequencies, measured in hertz Bandwidth (computing) or digital bandwidth: a rate of data transfer, bit rate or throughput, measured in bits per second (bps) Spectral linewidth: the width of an atomic or molecular spectral line, measured in hertz

最小均方误差（MMSE）的算法，是信号处理的基础，合成孔径雷达（SAR)目标成像仿真，一种流形学习算法（很好用），使用起来非常方便，可实现对二维数据的聚类，MIMO OFDM matlab仿真。( Minimum mean square error (MMSE) algorithm, Is the basis of the signal processing, Synthetic Aperture Radar (SAR) imaging simulation target, A fluid manifold learning algorithm (good use), Very convenient to use, Can realize the two-dimensional data clustering, MIMO OFDM matlab simulation.)

用c语言实现下列的数字信号处理算法 1．离散傅里叶级数合成连续周期信号 2．DIF FFT 测试程序 3．将输入数据的幅度画出图形 4．使用FFT实现快速卷积 5．使用FFT实现快速相关 6．取样混迭演示程序 (language used to achieve the following digital signal processing algorithms 1. Discrete Fourier series synthetic signal two consecutive cycles. DIF FFT three test procedures. The input data rate of 4 paint graphics. Use FFT fast convolution 5. Use FFT fast correlation 6. Aliasing sampling Demonstration Program)

集合emd变换，近年来较为流行的时间序列分析方法(ensomble emd transformation, more popular in recent years, time series analysis)