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AWGNBPSK
- 双击AWGNBPSK应用程序，系统运行出高斯信道的系统时频域图， 每敲一下回车键显示一幅图，最后敲两下仿真出高斯干扰的系统信噪 误码特性数据及图形，再敲两下则返回目录。 六幅时频域图分别为：原始信源、限带信源、已调信号、接收信号、低通输出、判决器出。 SNR、Er为设定信噪比及理论误码率，SnR1、otpEr为实测信噪比及实测误码率。 -click AWGNBPSK applications, the system running the Gauss channel frequ
Turbo_LDPC
- Turbo码，LDPC码（低密度奇偶校验码）均具有接近Shannon限的性能， 是目前便译码研究的热点。Turbo码在低信噪比情况下的性能优于其它各种编码 方式。而LDPC码的描述简单，具有较大的灵活性，当码长足够长时具有比Turbo 码更为良好的性能，其译码复杂度低于Turbo码。-Turbo code, LDPC code (LDPC) all have close to Shannon limit performance, it is the firm' s resear
angle-design
- 倾角传感器可以用来测量相对于水平面的倾角变化量。在工程测量的许多领域，倾斜角传感器都被广泛的施以应用，是一种非常重要的测量装置。 传统的倾角传感器易受噪声干扰，信噪比低，分辨率低，灵敏度低 、尺寸大，响应慢、不便携带。因此开发智能型倾角仪就成为了必然趋势。-Tilt sensor can be used to measure the angle relative to the horizontal variation. In many areas of engineering survey, t
YINGPANJUE
- 认知无线电环境中，当认知用户处于低信噪比环境时，软判决与硬判决的对比发现此时软判决优于硬判决-In Cognitive radio environment, the cognitive users in low SNR environment, the contrast of the soft decision and hard decision to soft decision is better than hard decision
stbcall.m
- tgrr yggg ggg yttt Space time block coding (STBC) and beamforming techniques are two emerging technologies that can be employed at base station with multiple antenna to provide transmit diversity and beamforming gain to increase signal-to-
matlabfortreatinglowerSNRradarsignal
- 此matlab程序属于雷达信号处理领域，用于检测低信噪比的目标。-This matlab program belongs to the field of radar signal processing for detecting low SNR targets.
xx
- matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰-matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak
XXDSSD
- matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰-matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak
taylor_zuobiao
- 基于泰勒展开的最小二乘求解坐标的程序 能够在低信噪比条件下实现准确定位-Coordinates based on least squares procedure for solving the Taylor expansion can be achieved in low SNR accurate positioning
LowPassNoiseSNR
- 低信噪比下的捕获性能仿真，很详细，对于卫星信号的捕获技术学习很有帮助-The capture performance simulation of low SNR is very detailed, and it is helpful for the acquisition of satellite signal.
程序
- SOM-SVM模型是利用SOM的聚类特点，将含有相同特征的输入样本聚集在一起，并把离聚类中心较远的输入样本舍去。经过20%的样本压缩后，将含有代表性的小样本再送入SVM进行训练。本文的样本集通过实验平台采集，验证了基于支持向量机的频谱感知方法在实际数据测试条件下也能取得很好的感知性能。仿真结果表明，SOM-SVM模型在低信噪比下，频谱检测率接近100%，检测错误率也得到了很好的改善。(The SOM-SVM model is based on clustering characteristics