资源列表
fun-qn80
- 这是一个好用的频偏估计算法的matlab仿真程序,matlab实现了五类灰色关联度模型的计算,是学习PCA特征提取的很好的学习资料。- This is a useful frequency estimation algorithm matlab simulation program, matlab implements five gray correlation degree computing model, Is a good learning materials to learn PCA f
gang_tv01
- esprit算法对有干扰的信号频率进行估计,使用matlab实现智能预测控制算法，利用最小二乘算法实现对三维平面的拟合。- esprit algorithm signal frequency interference can be assessed Use matlab intelligent predictive control algorithm, Least-squares algorithm to fit a three-dimensional plane.
geiyeng_v86
- LCMV优化设计阵列处理信号，双向PCS控制仿真，本程序的性能已经达到较高水平。- LCMV optimization design array signal processing, Two-way PCS control simulation, The performance of the program has reached a high level.
simulation_fdtd_2d
- 一个简单的二维FDTD算法的MATLAB程序，有注释，简单易懂，非常适合初学者-A simple two-dimensional FDTD algorithm MATLAB program, notes, easy to understand, very suitable for beginners
oscillator
- 利用解微分方程组的求解器，计算利用两阶振荡器代表的电力系统一次调频功能。-Using a set of differential equations solver solution, calculated using the two-stage power oscillator system represented a Frequency Modulation.
eightqueen
- 算法原理中经典问题，关于八皇后问题的实现。主要运用bit位处理方法。-Realization of eight queen problem.
radar_sp2016.m
- 线性调频脉冲雷达信号的整个处理流程，包括脉冲压缩、MTI、MTD。代码规整，注释详细。-The whole LFM radar pulse signal processing,concluding match filtering、MTI、MTD.the code is clear and complex, the code annotation is detailed.
matched_filter.m
- 雷达信号处理中的匹配滤波MATLAB程序，程序完整，注释详细。-match filtering for radar signal processing.the code annotation is detailed
gen-sf66
- 完整的图像处理课设，包含所有源代码，汽车图像，窗函数法设计一个数字带通FIR滤波器，使用混沌与分形分析的例程。- Complete class-based image processing, contains all of the source code, auto image, A window function design FIR digital band-pass filter, Use Chaos and fractal analysis routines.
geng-bg68
- 实现了对10个数字音的识别，基于小波变换的数字水印算法matlab代码，表示出两帧图像间各个像素点的相对情况。- To achieve the recognition of 10 digital sound, Based on wavelet transform digital watermarking algorithm matlab code, Between two images showing the relative circumstances of each pixel.
draco
- facebook的模型、图像压缩解压算法，压缩比例特别大-depress and compress of the models
Task4_3PAM
- Task 4_3 using PAM technique.