lizi

阵列信号处理中信源数目估计----盖而圆半径法(CITIC source array signal processing the estimated number of covered and Radii----)

求解有约束非线性规划实例MATLAB源程序(Solving constrained nonlinear programming)

photovoltaic matlab model two diode solar energy

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

this is a algorithm Fast PCA, it is very suitable for beginer who want to understand PCA, it is demo step by step

％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))

simulation of fuel cell -part5

图像去雾技术(Haze Removal using dark channel)(Haze Removal)

对数字调制信号计算循环谱相关，并画出三维图以及二位截面图(Digital modulation signal to the cycle spectral correlation calculation, and draw three-dimensional map, as well as two sections)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)