资源列表
power_HEV_powertrain
- this is matlab simulation to analyse the hybrid electric vehicle
GridFit
- GridFit函数，可用于原始场地地形地势复现、地形拟合及坐标点、高程数据提取。 gridfit函数，可用于原始地貌复现和地形数据的拟合与提取。代码说明详尽，编写简练。可实际应用，也可作为学习模板-gridfit functions for fitting and extraction of the original landscape and terrain data reproduction. Code Descr iption detailed, written and concise
Data_USPS_linear
- 使用最近邻和现行分类的方法对USPS手写体数据库进行分类，正确率可以达到90 以上。-Using the nearest neighbor and current classification method for USPS handwritten classification correct rate can reach 90 .
gdbs
- 麦克风阵列固定波束形成算法。利用四个正弦波加噪声后模拟麦克风阵列语音输入，用固定波束形成算法进行处理-Fixed microphone array beamforming algorithm
RBF-based-on-GA
- 基于GA的RBF神经网络优化算法，可以进行学习参考-Seven good RBF MATLAB simulation program, beginners can learn reference
isar-moving_target_hrr_imaging
- 高速目标LFM雷达回波模拟与HRRP成像-High-speed target LFM radar echo simulation and imaging HRRP
NIBIANFANGZHEN
- 移相全桥控制程序，带pi调节，闭环控制，基于lcl结构的拓扑结构-Phase-shifted full-bridge control program, with pi regulation, closed-loop control, structure-based topology lcl
the-terminal-guidance-law-
- 对导弹拦截目标的末制导方法在二维平面内进行仿真，列举了两种控制算法，做了比较，程序完全可以运行，硕士论文中间的一部分程序-Of missile intercept target terminal guidance method was simulated in a two-dimensional plane, enumerates two kinds of control algorithm, in comparison, the program can be run completely, m
LRAD_MMSE
- MIMO中的MMSE检测及LLL对MMSE的优化-MMSE,LRAD-MMSE DETECTION FOR MIMO SYSTEM
bpsk
- 噪声信号图,PSD的调制函数,PSD的原始采样函数 采样信号,连续波信号的MATLAB仿真代码，可以运行出结果，有图片。-Plot of Noise Signal PSD of Modulated Function PSD of Original Sampled Function Sampled signal Continuous Wave Signal
xbfx
- 小波分析、局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。-Wavelet Analysis、Signal acquired partial discharge test is often mixed with white noise, periodic interference signal removal. Db series wavelet c
m_sequence
- 一个简单的m序列产生函数，通过调用primpoly获得本原多项式，然后通过移位循环寄存器产生所需要的序列。自相关图形上能看到峰值旁瓣电平(PSL)和积累旁瓣电平(ISL)。-A simple code for generate m-series pseudo-random sequence based PRIMPOLY function which we get the prime polynomials first,then we get the feedback connect coeff