电力线噪声模型仿真

DSP using Matlab. Ingle & Proakis.

and uD as described in section 4 together with the discrete space. The main . The proposed Matlab program employs th

数值分析（李乃成、梅立泉）中三次样条法matlab源程序(matlab program of spline function in numerical analysis)

Orbit determination and control source Matlab code

比较四分量信号的不同时频分布结果,小波分析。(Compare the results of time-frequency distribution of the four components of the signal)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  光子晶体光纤的数值模拟，用matlab计算光子晶体光纤的模场分布、色散等参数(Numerical simulation of photonic crystal fiber, using Matlab to calculate the mode field distribution, dispersion and other parameters of photonic crystal fiber)

this algorithm describes how to take fast fourier transform in matlab

CDMA的matlab仿真CDMA的matlab仿真CDMA的matlab仿真(simulation of CDMAsimulation of CDMAsimulation of CDMA)

fin and bar heat transfer codes FV and FD