svmodel60ghz

Matlab code file necessary for matlab debugging

Stanford地震数据处理反演解释工具，使用非常方便(Stanford seismic data processing and interpretation)

SP算法MATLAB源代码实现，算法中MATLAB源代码易懂最容易掌握的编码(SP algorithm MATLAB source code，Algorithm MATLAB source code to understand the easiest to master coding)

说明：  BP与GA-BP算法用于温度补偿函数拟合的比较(For the comparison of temperature compensation function fitting BP and GA-BP algorithm)

program draw of line

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.(A fast customizable function for locating and measuring the peaks in noisy time-series si gnals. Adjustable parameters allow discrimin ation of the "real" signal peaks from noise and back ground. Determines the position, height, and width of each peak by least-squares curve-f itting.)

还有比这更清楚明白的OFDM程序吗，没有，绝对没有，欢迎各位批评指正。(There could be more clearly understood OFDM program it, no, absolutely no, welcome criticism.)

DEMODULATOR: This function performs demodulation of the forward Channel packet, based on RAKE Receiver Block Diagram Input Signal -> [Matched Filter] -> [Sampler] -> [RAKE Receiver] -> [Walsh] -> [DeSpreading] Inputs: RxIn - input signal (I/Q) analoge PN - PN sequence (used for De-spreading) MF - matched filter taps Walsh - Used row of Walsh matrix for recovering

一个MATLAB的课件提纲，对初学者应该有一点帮助(A MATLAB courseware outline, there should be some help for beginners)

README.TXT (this file) CLOUD_ARRAY.TIF is a synthetic test image. It contains a 5x5 pattern of identical, regularly-spaced cartoon clouds. This represents an ideal field of view in XY coordinates in order to study the effect of scanner field of view distortion. MODEL_LIDAR_AND_VALIDATE_TFORM.M is the MATLAB program. NOTE: This is a function M-file with a number of subfunctions inside. Refer to the comment lines for detailed explanation of how the program works.( Some images are geometrically distorted due to optics others due to nonuniform or curvelinear scan coordinates. Such distortions can be corrected using spatial transformations given the governing distortion geometry. This program demonstrates how to correct for nonuniform polar scan distortion using spatial transforms in MATLAB with the Image Processing Toolbox 3.1.)