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Rake reception using matlab

Hough transform for line detection. (very fast and easy solution). written by : Ebaadat Ghanbari Parmehr. Nov.21.2004. University of Tehran. Faculty of Engineering. Surveying and Geomatics Department. Photogrammetry Devision.

最优PID控制器资料，包含matlab程序和详细的文档说明。对做pid控制的肯定有帮助( Optimal PID controller matlab program and documentation)

用来计算PID控制算法的算法。里面有详细的建模过程。(Algorithm used to calculate the PID control algorithm. There are detailed modeling process.)

雷达模拟程序，图像界面，在不同版本的MATLAB运行时需要调试。(Radar simulation program, image interface, need to be debugged in different versions of MATLAB.)

In a normal communication channel, it is often desirable to concentrate the information in as narrow a region of the frequency spectrum as possible in order to conserve available bandwidth and to reduce power. The basic spread spectrum technique, on the other hand, is designed to encode a stream of information by spreading the encoded data across as much of the frequency spectrum as possible. This allows the signal reception, even if there is interference on some frequencies. While there are many variations on spread spectrum communication, we concentrated on Direct Sequence Spread Spectrum encoding (DSSS). The DSSS method spreads the signal by multiplying it by a chip, a maximal length pseudorandom sequence modulated at a known rate. Since the host signals are in discrete-time format, we can use the sampling rate as the chip rate for coding.

免疫克隆选择算法打求解ts问题 可直接运行 功能强大(Immune clonal selection algorithm fight solving ts problems can be directly run powerful)

电动出租车的充电负荷计算，蒙特卡洛法，电动汽车充电负荷模型(Electric Taxi Charging Load Calculation, Monte Carlo Method, Electric Vehicle Charging Load Model)

改程序利用多项式拟合法进行卫星周跳的检测与修复。适合进行GPS初步学习。(Polynomial fitting procedure to change the use of satellite Cycle slip detection and repair. Preliminary study for the GPS.)

Many algorithms for PQRST feature extraction have been reported in the literature, especially algorithms for finding the QRS complex [Pahlm and Sornmo, 1984] [Hamilton and Tompkins, 1986]. In this section, only the feature extraction algorithm used in this work is described.