smart_antenna1

This program is for image segmentation using Expectation maximum

kalman，vc++-------------(kalman, vc++-------------)

在MATLAB环境下，对图像进行哈夫曼编码。(In the MATLAB environment, the image Huffman.)

window IO CPP code example

该程序是对OFDM信号的频谱感知的循环特征检测方法，代码齐全，介绍详细(The program is the OFDM signal spectrum sensing cycle of feature detection, code complete, detailed description)

简单脉冲雷达LFM信号仿真分析程序，包括LFM信号、回波仿真、脉冲压缩、FFT处理。(Simple pulse radar LFM signal simulation analysis program, including LFM signal, echo simulation, pulse compression, FFT processing simple pulse radar LFM signal simulation program, including LFM signal, echo simulation, pulse compression, FFT processing )

Genetic algorithm matlab code tsp

说明：  信号BSK-AM调制的代码基于matlab的通信系统仿真系列。刚接触到matlab的朋友使用(BSK-AM signal modulation code matlab-based communications system simulation series.刚接触to friends using matlab)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.

iNEDI is an acronym for "improved New Edge-Directed Interpolation". This function implements an improvement of the original NEDI technique described on: X. Li et. al., "new edge-directed interpolation". IEEE Trans. on Image Processing, Vol.10, No.10, October 2001, pp.1521-1527 (iNEDI is an acronym for "improved New Edge- Directed Interpolation. " This function imple ments an improvement of the original GaAs techn ique described on : X. Li et. al. , "new edge-directed interpolation." IEEE Tran s. on Image Processing, Vol.10, No.10, 373,890 bytes, pp.1521- 1527)