资源列表
TL DCDC
- 基本MATLAB/Simulink环境下的三电平DC/DC多机并联均流技术仿真(Basic MATLAB/Simulink environment of the three-level DC/DC multi-machine parallel flow technology simulation.)
rbf.m
- rbf Matlab 源程序 仅供参考学习使用，如有错误请指正。(rbf Matlab The source program is for reference only. Please correct if there is any mistake.)
xulie
- 用matlab产生gold和m伪随机序列的程序源码.m文件(Generating gold pseudorandom sequences with MATLAB)
voice_wav_frequency
- matlab语音信号分析时域频域，加窗，降噪滤波，端点检测，时域特征和频域特征提取(Matlab speech signal analysis in time domain, frequency domain, windowing, denoising, filtering, endpoint detection, time domain feature and frequency domain feature extraction.)
flostft
- 构造一个跳频信号使之产生稳定的时频波形，并用汉宁窗去 进行时频分析(To construct a frequency hopping signal that is generated when the frequency waveform is stable, and with a Hanning window to time-frequency analysis)
Upload files
- Backtrack optimization and satellite formation algorithms, Artificial intelligence and finite element books
GPSINS
- 组合导航源码，有助于入门了解GPSins惯性导航(Integrated navigation source code, helps to get to know GPSins inertial navigation.)
Matlab-libsvm-3.20
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机(Support Vector Machine，简称SVM)。支持向量机的提出有很深的理论背景。 支持向量机方法是在后来提出的
CONV_M
- 计算离散时间信号间卷积和，并确定卷积信号的起止时刻点 信号处理卷积例程(convolution routine for signal processing % -------------------------------------------------- % [y,ny] = conv_m(x,nx,h,nh) % y = convolution result % ny = support of y % x = first signal on support nx % n
wavelet
- signal denoising using wavelet
svm-fractal-lacunarity
- pattern recognition using fractal lacunarity and svm
QPSK mimo
- mimo仿真代码，1to1，2to2等以及对比(mobile communication: mimo simulation in matlab.)