RBFlw8

详细讲述了，matlab与VC++6.0的混合编程(Described in detail, matlab mixed with VC++6.0 programming)

采样保持电路中全差分运算放大器的设计与仿真(Sample and hold circuit of Fully Differential Operational Amplifier Design and Simulation)

about muller method for solve lineer program

matlab相关教程，希望能给大家提供帮助，可以看看的资料(matlab tutorial, I hope to give help, you can see the information)

VEHICLE SPEED AND SPACING CONTROL VIA COORDINATED THROTTLE AND BRAKE ACTUATION

vi du viet giao dien phep toan nhan dung Matlab, da bien dich thanh file chay doc lap, luu y muon chay doc lap chep MCRInstaller.exe trong Matlab2007b (hoac phien ban moi) vao folder chua file chay doc lap

说明：  考察一个长度为 的均直简支梁系统，梁的横截面积为A，弹性模量为E，质量密度为 ，在离简支梁左边支点的 距离和 距离处 施加动态载荷(The mean length of study of a simply supported straight beam system, the beam cross-sectional area A, modulus of elasticity E, mass density, the left away from the simple beam and the distance from the fulcrum of the dynamic loads imposed)

说明：  MATLAB程序（附图像），利用HSI色彩空间的AGV对路径进行识别。(MATLAB (AP like), the HSI color space using the right path AGV identification.)

扩频通信系统仿真 ——系统将基带信号（即信息）的频谱扩展至很宽的频带上，然后再进行传输，即将欲传输的信息数据用伪随机序列编码调制，实现频谱扩展，然后通过信道编码发送出去；接收端采用与发送端完全相同的伪随机序列作为本地解扩信号进行相关处理，以恢复信息，最后进行解调，完成整个系统的接收。(Simulation of spread spectrum communication system- the system baseband signal (ie, information) be extended to a wide spectrum of frequency bands, and then transferred, will want to use transmitted information data sequence of pseudo-random code modulation, to achieve expansion of the spectrum, and then sent channel coding receiver and transmitter use the same pseudo-random sequence as related to the local despreading signal processing, in order to restore the information, the final demodulation, the receiver to complete the system.)

kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis.(kfdemo.m Matlab is a script file to run a dem onstration of the Bayesian Kalman filter. It lo kfdemo.mat ads file (saved as version 4 so that i t will read in either v4 or v5 Matla#$#!254253#!#$C-Algorithm- XSL.zip!#$#"C algorithms suite" of source code, Shi-Liang Xu book, a lot of highly efficient C language algorithms, those self-help programming.)