FBG

说明：  本程序为利用matlab求解微分方程的源程序及相关例子(the procedures for the use of Matlab to solve the differential equation of the source and relevant examples)

Yeah I actually fixed it by moving a bunch of stuff to onResume(). There are also a number of other bugs I found in this code posted here (which was based on even buggier code) that I will post as soon as I get them all fixed. The first one that comes to mind is that in the try block it needs to check if c is null. Another one is that there is no error handling for a source going down midstream

这个可以用来在元胞自己增加车流使用是好用的额(This can be used to increase traffic in cellular own use is the amount of usefuladd car)

MATLAB 编译 java 用户手册，官方指南，说明很详细(MATLAB Builder for Java Users Guide)

说明：  带全阶状态反馈的电机控制模拟系统。在simulink内通过二阶控制实现了良好的速度相应性能。(With full-order state-feedback simulation system of motor control. In simulink through second-order control to achieve a good performance speed accordingly.)

基于GA和MP的音频信号稀疏分解,用matlab实现(GA and MP based on sparse decomposition of audio signals using matlab implementation)

The digital wideband receiver is a critical component in modern digital receivers. The receiver has the capability to expose and distinguish adverse signals contained within a large bandwidth (on the order of 1 GHz or more) of the radio frequency (RF) spectrum. The spectral estimator is a highly important design element imperative to the detection of the hostile signals within the intended bandwidth in order to fulfill mission requirements. This crucial element of an FFT-based digital receiver presented several challenges in the development of this research. The task at hand was to minimize the total hardware consumption contributed to the complex arithmetic operations while maintaining a high single signal spurious-free dynamic range (SFDR) and multi-tone instantaneous dynamic range (IDR).

Gaussian elimination in binary arithmetic

模拟噪声的程序，可以根据需要改写，主要功能是实现噪声模型 (Additive Noise Channel/Additive Guassian Noise Channel is the simplest of all channels. File usage details: op_channel = additivenoise(input_signal) mathematical Model: s(t) input signal to channel (=sig_ip) n(t)additive random noise process added by channel (=noise_mat) a(t) attenutation factor , here it is taken as random(=att_fact) out put signal r(t) = a .* s(t)+ n(t) an additional file named through_anc is there which shows 2 figures, 1. input signal 2. output signal )

用于图像配准等应用的互信息计算，为Matlab程序，比较简单，但很实用。(for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical.)