CoefsMel

基于LS和MMSE算法实现信道估计，采用块序列(Based on LS and MMSE algorithm, realized channel estimation )

Matlab源程序代码，用于拟合超二次曲线，曲面的代码，呵呵，与大家一起分享受(Matlab source code for the quadratic curve-fitting, surface code Oh, and that they have enjoyed.)

双极性码元的误比特率计算，画出误比特率曲线。(bipolar symbol of the bit error rate calculation, to give the BER curves.)

matlab 动画汇总，包括 弹性蹦球演示程序。嫦娥奔月演示程序。曲柄连杆机构充气球动画演示程序等(matlab animation summary, including flexible spring ball demo. Moon demo. Crank animation process inflatable ball, etc.)

Matlab code for generating FSK modulated signal

matlab一些典型例程，供初学者使用，互相学习啊，(matlab some typical routines, for beginners to use and learn from each other, ah,)

hello sent this for in rar filr

部分院校的数字信号处理的matlab的实验(Some institutions of digital signal processing matlab experiment)

matlab绘制甘特图的代码matlab绘制甘特图的代码matlab绘制甘特图的代码(matlab code draw Gantt chart code matlab matlab draw Gantt chart drawing Gantt chart code)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy