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chap09

于 2021-03-17 发布

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下载积分: 1 下载次数: 17

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代码说明：

说明： ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理(程序有错误) ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累 ex9_14 计算加性高斯白噪声准则下雷达探测的经典CFAR 二进制检测阈值和指定的虚警概率。 (瑞利噪声下快慢门限CFAR处理)(Ex9_1 pulse signal modulates ex9_2 carrier 10MHz, Linear Frequency Modulation signal of bandwidth 2MHz and its Spectrum Diagram ex9_14 calculation of classical CFAR under additive Gaussian white noise criterion Binary detection threshold and specified false alarm probability. (fast and slow threshold CFAR processing under Riley noise))

文件列表：

chap09, 0 , 2019-05-30
chap09\ex9_1.m, 149 , 2019-05-30
chap09\ex9_10.m, 1052 , 2006-05-31
chap09\ex9_11.m, 1973 , 2019-05-30
chap09\ex9_12.m, 2635 , 2019-05-30
chap09\ex9_13.m, 5437 , 2019-05-30
chap09\ex9_14.asv, 1928 , 2019-05-30
chap09\ex9_14.m, 1928 , 2019-05-30
chap09\ex9_15.m, 2518 , 2019-05-30
chap09\ex9_2.m, 410 , 2006-05-31
chap09\ex9_3.m, 425 , 2006-05-31
chap09\ex9_4.m, 703 , 2006-05-31
chap09\ex9_5.m, 316 , 2019-05-30
chap09\ex9_6.m, 1783 , 2019-05-30
chap09\ex9_7.m, 1480 , 2006-05-31
chap09\ex9_8.m, 1857 , 2019-05-30
chap09\ex9_9.m, 2320 , 2019-05-30
chap09\leidaxitongfangzhen.asv, 8057 , 2006-05-31
chap09\leidaxitongfangzhen.m, 8030 , 2006-05-31
chap09\nonline_eq_sirp.m, 1052 , 2006-05-31
chap09\pam.m, 635 , 2019-05-30

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robotsim1
此段代码实现了一个点机器人的避碰功能，具有良好的实现界面。(This code implements collision avoidance function of point robot , and there s a good interface.)

2009-09-23 11:17:26下载

积分：1
hex_counter-2014-10-15
hex_counter old project, please let me know if need any help

2014-12-03 02:21:05下载

积分：1
duoshili3
本文提出采用车标来对车辆进行分类识别，这个方法基于支持向量基分类方法，支持向量机是一个基于统计学的数据挖掘算法(Therefore, this paper uses the car standard for classification and identification of the vehicle, the method based on support vector-based classification methods, support vector machine is a data mining algorithm based on statistical)

2015-04-13 16:40:31下载

积分：1
turbo
使用MATLAB完成turbo码的编码,在给定生成多项式交织映射表和删余选择的情况下进行TURBO的编码。主程序为encederm.m,调用子程序rsc_encede.m和encode_bit.m(Turbo code using MATLAB to complete the encoding, in a given generation of polynomial mapping table and delete intertwined choice than under the TURBO code. Main program for encederm.m, call Subroutine rsc_encede.m and encode_bit.m)

2008-05-26 23:00:30下载

积分：1
MFCC1
matlab环境下，用于语音识别的MFCC参数的提取。(matlab environment for speech recognition of MFCC parameters extracted.)

2010-05-29 18:55:23下载

积分：1
Genetic-algorithm
Matlab遗传算法和详细示例,可以直接运行,请下载，例子比较详尽 (Matlab genetic algorithm and example are detailed, which can be run directly, please download )

2014-09-13 17:14:49下载

积分：1
shang
周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。(Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the result is an estimated power spectral density of the signal sequence of the real spectrum and spectral convolution window, resulting in the generation of errors. The procedures were designed periodogram, maximum entropy power spectrum estimation and the Welch method and their comparison, the maximum entropy power spectrum estimation purpose is to maximize the retention of truncated after the loss of the " window" than the information signal, the entropy of the estimated spectrum maximum.)

2011-09-14 10:27:34下载

积分：1
tsp
这是个TSP简单的例题，通过这个简单的例子，通过适量修改，可以变成负责的TSP问题(tsp using genetic algorithm to achieve the program to run properly the results)

2014-11-28 09:21:25下载

积分：1
IMPROVEMGM
灰色模型的改进程序算法，包括初值和背景值的改进，(Improved gray model, including the initial and background values improve)

2015-03-27 04:15:54下载

积分：1
source-codes
cohere(x,y,M) computes the coherence function using successive DFTs of length with a Hanning window and 50 overlap. (The window and overlap can be controlled via additional optional arguments.) We see a coherence peak at frequency cycles/sample, as expected, but there are also two rather large coherence samples on either side of the main peak. These are expected as well, since the true cross-spectrum for this case is a critically sampled Hanning window transform. (A window transform is critically sampled whenever the window length equals the DFT length.)

2011-06-22 01:31:54下载

积分：1

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