problem1

多用户的高斯信道CDMA仿真，可以模拟传输三路语音信号(Multi-user Gaussian CDMA channel simulation can simulate the three-way voice signals transmitted)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

m序列生成函数，可在matlab环境下调用生成伪随机序列(m sequence generation function can be generated in matlab environment, called pseudo-random sequence)

一级倒立摆的lqr控制，两部分组成，simulink和m文件。(An inverted pendulum lqr control, composed of two parts, simulink and m files.)

matlabGUI设计的一个简单的例子，实现的图像的阈值的自动调节，然后输出阈值化后的图像，(A simple example matlabGUI designed to automatically adjust the threshold to achieve an image, then the output image after thresholding,)

探测信号为单个信号的被动时反通信MATLAB仿真，可以直接把探测信号扩展成LFM。(Passive detection signal when a single signal for the anti-communications MATLAB simulation, can be directly extended to detect signals into LFM.)

PID比例控制，用对水箱的液位的控制，通过调节阀的流量改变，来控制液位稳定(pid)

Traingulation method for RSSI

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

PID controller using matlab Simulink