matlab

matlab重要的学习资料 初学者的好帮手 程序代码非常重要,在滤波器设计方面有参考价值(matlab important information for beginners to learn a good helper program code is very important in the design of a reference filter)

MATLAB6.0数学手册的电子书，很不错，大家可以下载下来参考一下(MATLAB6.0 Mathematics e-book manual, very good, everyone can download it for reference)

说明：  线性调频信号的产生，用MATLAB实现，脉宽25，扫描带宽20MHZ，取样频率20MHZ，时频积为50，并给出其频率特性(LFM signal produce)

关于rssi定位算法的程序，应该算是比较经典的( rssi localization)

孙志忠书：偏微分方程数值解，第三章第四节，抛物方程的Crank-Nicolson格式(Crank-Nicolson Type)

一个二维的FDTD程序 本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 FDTD_2D_kongqi_PML 仅含有Ez,Hx,Hy分量 (A two-dimensional FDTD program program realization of the wave 2-D TM FDTD simulation this program set with the PML absorbing boundary condition FDTD_2D_kongqi_PML contain only Ez, Hx, Hy component)

Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。 (Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise. )

基于频域基音同步叠加的语音合成算法，在时域基音同步叠加的基础上增加频域调整的部分(Speech synthesis algorithm based on frequency domain pitch synchronous overlap and increase the frequency domain adjusted on the basis of the time-domain pitch synchronous superimposed on part)

fast 1d and 2d local minima detector

压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系(Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the relationship between the observed matrix)