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segy_control
对sgy格式的地震数据,进行各种操作。包括读取和制作,以及道头字提取,地震数据提取等。期待与有共同目标的朋友们研究。(Sgy format for seismic data in the various operations. Including the reading and production, as well as the Road, the first word extraction, data extraction, such as an earthquake. Look forward to working with common goals have friends study.)
- 2007-07-17 21:39:02下载
- 积分:1
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Newton-rings-grating-interferometer
牛顿环劈尖单缝双缝光栅干涉的matlab程序,图像清晰(Newton ring wedge single slit double slit grating interferometer matlab program, clear images)
- 2012-05-03 15:11:41下载
- 积分:1
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FFTPROCESS
说明: FFT处理FMCW雷达信号,获得距离以及多普勒,角度信息(FFT processes FMCW radar signal to obtain range, Doppler and angle information)
- 2021-04-27 23:48:44下载
- 积分:1
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ElectromagneticSimulationUsingFdtdSullivan1D
Electromagnetic Simulation Using__ Fdtd Sullivan书中C语言的程序转写成MATLAB程序。全部都能运行,正确。(Electromagnetic Simulation Using__ Fdtd Sullivan book, written in C language program to switch MATLAB. All to run correctly.)
- 2010-07-19 18:02:09下载
- 积分:1
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sdr-core
一种软件无线电核心算法的演示,包含了傅里叶变换,降噪滤波,常用调试解调等(Core algorithm of a software radio demo, contains the Fourier transform, noise reduction filtering, demodulation and other common debugging)
- 2011-01-17 16:04:23下载
- 积分:1
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lab2
CDMA中DSSS直序扩频仿真代码,采用了移位寄存器产生扩频码(DSSS simulation in CDMA system)
- 2012-01-31 20:48:58下载
- 积分:1
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ASM3
active shape model的matlab代码实现,用于图像处理,模式识别等方面(active shape model of matlab code for image processing, pattern recognition, etc.)
- 2007-12-16 10:43:34下载
- 积分:1
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spiketrain2
matlab neuron system spike tran2
- 2009-10-23 00:10:27下载
- 积分:1
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TFBSSpack
说明: 一种基于短时傅里叶时频分析的盲源分离算法,算法基于卷积混合。处理非平稳源信号。(Short Time Fourier based time-frequency analysis of blind source separation algorithm, hybrid algorithm is based on convolution. Handling non-stationary source signals.)
- 2011-02-23 09:36:48下载
- 积分:1
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shanks
function [a,b,err] = shanks(x,p,q)
SHANKS Model a signal using Shanks method
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Usage: [a,b,err] = shanks(x,p,q)
The sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles. The modeling error
is returned in err.
- 2012-04-18 09:58:03下载
- 积分:1