crbm_audio_r2

This code has been used and seems to be free of error. However, it carries no explicit or implicit guarantee.

是国外的成品模型，一些自适应信号处理的算法，主要为数据分析和统计，合成孔径雷达（SAR)目标成像仿真，多目标跟踪的粒子滤波器，与理论分析结果相比，验证可用。 ( Foreign model is finished, Some adaptive signal processing algorithms, Mainly for data analysis and statistics, Synthetic Aperture Radar (SAR) imaging simulation target, Multi-target tracking particle filter, Compared with the results of theoretical analysis, Verification is available. )

利用matlab仿真工具 实现图像配准 (Matlab simulation tools used to achieve image registration)

The rar file contains different sample tests for practice of gre exam.

最小选择恒虚警检测——SO-CFAR检测器：包括对于无目标、仅有噪声的信号进行SO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的CA算法仿真。一些程序主要是为了绘图，画出SO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算SO-CFAR检测过程中的检测概率和虚警概率。(SO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using SO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of SO-CFAR algorithm.)

自编的非线性牛顿算法，经IEEE14、30、39节点系统验证，是正确的(Nonlinear Newton algorithm includes the IEEE14 node system verification, 30, 39, is correct)

sampencandApEn.m 为证明 样本熵 较 近似熵 更准确的程序 fast_ApEn1.m sampenc.m 为sampencandApEn.m的子程序(sampencandApEn.m sample entropy to prove more accurate than the approximate entropy procedure 3.fast_ApEn1.m sampenc.m subroutine is sampencandApEn.m)

matlab求解高阶偏微分方程边界问题，包括bvp4c.m，license.txt和(matlab solving warned partial differential equations of the border issue, bvp4c，sparse2.mexw32)

matlab算法，卡尔曼滤波，伪距单点定位，精度1-2m，精密星历可采用全天数据，处理速度很快(matlab algorithm, Kalman filtering, pseudorange single point positioning accuracy of 1-2m, precise ephemeris data can be used throughout the day, the process is fast)

说明：  ｓｉｇｎ那个：里边有信号的傅里叶变换，功率谱分析，轴系估计图，相关分析，相干分析(sign that: a signal inside the Fourier transform, power spectrum analysis, shaft estimation map, correlation analysis, coherence analysis)