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BPSK
源码是BPSK单载波调制方式下对整个系统的调制与解调(Source is a single carrier BPSK modulation of the system under modulation and demodulation)
- 2010-06-17 13:47:09下载
- 积分：1
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hujian
gram-schmidt与hosehouder算法，stability程序为通过hosehouder算法检验gram-schmidt算法的正确性，适合工程复算(gram-schmidt and hosehouder algorithms, stability test procedures for the adoption of gram-schmidt algorithm hosehouder correctness of the algorithm is suitable for engineering complex operator)
- 2009-12-02 14:18:57下载
- 积分：1
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shumojiaocheng
国际数模竞赛的基础教程，供参加比赛的人学习(The basis of the number of Tutorials modeling contest for those who participate in the competition study)
- 2010-12-29 17:05:47下载
- 积分：1
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dtc
在matlab r2010a环境下按照博士论文中规中矩建立的直接转矩控制模型，反馈转矩如果采用电机模型输出的转矩系统能很好的工作(Model of direct torque control in matlab r2010a environment in accordance with the established law-abiding, PhD thesis, feedback torque output torque of the motor model system can work well)
- 2013-03-08 12:03:21下载
- 积分：1
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Mask1
初学者，查找相邻像素值4-PATH ，然后用白色标出。(Find the adjacency value of a given pixel for image )
- 2012-02-09 11:21:18下载
- 积分：1
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PeHcos
说明： 升余弦信号通过理想信道的误码率计算和绘制误码率曲线(or cosine signal through the ideal channel bit error rate calculation and mapping BER curves)
- 2006-05-05 00:21:37下载
- 积分：1
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xiaobofenjie-chonggou-nengliangfenxi
matlab的小波分解，重构，去噪以及能量分析(matlab wavelet decomposition and reconstruction, noise reduction and energy analysis)
- 2011-04-28 16:59:42下载
- 积分：1
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kalmanpzvar
Kalman滤波程序，可用于图像处理和信号处理中(Kalman filtering program that can be used in image processing and signal processing)
- 2011-06-28 10:14:53下载
- 积分：1
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Vblast
仿真（ZF,ZF-SIC,ZF-OSIC,MMSE,MMSE-SIC,MMSE-OSIC,ML)Vblast接收机的检测性能，绘制误比特率～信噪比曲线(Simulation (ZF, ZF-SIC, ZF-OSIC, MMSE, MMSE-SIC, MMSE-OSIC, ML) detection performance Vblast receiver bit error rate ~ SNR plotted curve)
- 2021-04-10 19:08:59下载
- 积分：1
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Pso
模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。
(Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)
- 2007-10-24 14:45:05下载
- 积分：1
