histogram

This document is useful for hearing sound classification

连续系统 离散时间序列 傅里叶变换 Z变换(Continuous system discrete Fourier transform Z-transform time-series)

对从金属棒材中提取的超声缺陷信号经过自适应滤波以后的极坐标显示图(polar graph of ultrasonic defect signal)

基于QR分解的岭回归函数，这个函数是非的有用是已经证明过的准确程序( center input and output, so we can estimate w0 separately since we don t want to shrink w0 )

把运筹学中的各种算法如线性规划、最小树最短路径的算法用matlab来实现(some matlab program about oprational research,for example LP,min tree e.t.)

偏微分方程的matlab解法。文章详细地介绍了数学物理方程的各类解法及其精确度。(Matlab solution of partial differential equations. The article detailed description of the various types of solution of the equations of mathematical physics and its accuracy.)

this is fingerprint recognition project build in matlab

混沌系统分岔图 包括Lorenz系统 chen系统 都是两个文件同时打开运行第二个即可(Chaos bifurcation diagram)

弹性问题，包括平面问题和空间与轴对称问题(Elasticity problems, including plane and axisymmetric problems and space issues)

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.