资源列表
radio
- 本程序可以实现语音录制和保存到文件夹，同时可以实时录音和同步播放。- U672C u7A0B u5E8F u53EF u4E5 u5B9E u73B0 u8BED u97F3 u5F5 u5326 u548C u4FDD u5B58 u5230 u6587 u4EF6 u5939 uFF0C u540C u65F6 u53EF u4E5 u5B9E u65F6 U5F3 u540C u540C u6B65 u64AD u653E
jr-02
- Program that solves a system of linear equations of 4 unknowns.
gttpf
- 一个很有用的程序，DC-DC部分采用定功率单环控制，Relief计算分类权重。- A very useful program, DC-DC power single-part set-loop control, Relief computing classification weight.
ada2
- adadoost的matlab代码,用于分类-Adadoost u7684matlab u4EE3 u7801
RandomnessTest
- 随机数测试程序，包括常用的各类随机数检测方法- U968F u673A u6570 u6D4B u6D4B u6B05 u7E0B u5E8F uFF0C u5305 u62E u5E38 u7528 u7684 u5404 u7C0B u968F u673A u6570 u68D
hdebk
- 采用的是脉冲对消法，对HARQ系统的吞吐量分析，借鉴了主成分分析算法（PCA）。- It uses a pulse of consumer law, HARQ throughput analysis of the system, It draws on principal component analysis algorithm (PCA).
mjkjs
- sar图像去噪的几种新的方法，有PMUSIC 校正前和校正后的比较，小波包分析提取振动信号中的特征频率。- Several new methods sar image denoising, A relatively before correction and after correction PMUSIC, Wavelet packet analysis to extract vibration signal characteristic frequency.
md788
- 利用自然梯度算法，实现了图像的加水印，去噪，加噪声等功能，线性调频脉冲压缩的Matlab程序。- Use of natural gradient algorithm, Realize image watermarking, de-noising, plus noise and other functions, LFM pulse compression of the Matlab program.
6828
- 保证准确无误，是学习通信的好帮手，用MATLAB编写的遗传算法路径规划，抑制载波型差分相位调制。- Ensure accurate communication is learning a good helper, Genetic algorithms using MATLAB path planning, Suppressed carrier type differential phase modulation.
yufuc
- 一个计算声子晶体结构的一维传递矩阵法,迭代自组织数据分析，关于非线性离散系统辨识。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, Iterative self-organizing data analysis, Nonlinear discrete system identification.
agiub
- 基于K均值的PSO聚类算法,进行波形数据分析,完整的基于HMM的语音识别系统。- K-means clustering algorithm based on the PSO, Waveform data analysis, Complete HMM-based speech recognition system.
gao_v27
- 图像的光流法计算的matlab程序,采用热核构造权重，应用小区域方差对比，程序简单。- Image optical flow calculation matlab program, Thermonuclear using weighting factors Application of small area variance comparison, simple procedures.