rtl819x_BAProc

matlab中比较经典的微分方程求解.其中涉及到一维微分方程与2维平面PDE模型.希望有兴趣的可以看看.(matlab more classic solving differential equations which relate to the two-dimensional plane PDE model one-dimensional differential equations. that are interested can look at.)

说明：  用6级移位寄存器实现产生m序列，希望对各位有所帮助(Shift registers with a 6 m sequence generation, want to help you)

reviews radar waveforms,including CW, pulsed, and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analyzed.(reviews radar waveforms, including CW. CDFI. and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analy propellant.)

BER calculation in rayleigh

利用贝叶斯原理估计混合logit模型的参数，matlab小波分析程序，快速扩展随机生成树算法。( Bayesian parameter estimation principle mixed logit model, matlab wavelet analysis program, Rapid expansion of random spanning tree algorithm.)

连续与离散信号系统的Matlab仿真示例代码．(Continuous and Discrete Signal System Simulation Matlab sample code.)

............... Mobile robot tracking of pre-planned paths ..................................................................................................................

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

说明：  通过vc与matlab的接口,计算光滑曲面上的平均曲率和高斯曲率 (By vc interface with matlab to calculate the average on the smooth surface curvature and Gaussian curvature)

使用MATLAB进行GUI界面的编写 实现了 基本的串口通信，通过FT345bm硬件测试，可是实现115200bps的速率进行传输 ，性能比较稳定。(radar comm ,GUI ，usb ft245bm)