FIR-differentiate

采用信号包络和差分方式进行信号模式识别，可对QPSK，BPSK，AM，FM方式识别(The use of signal envelope and differential mode signal pattern recognition, can QPSK, BPSK, AM, FM identified)

FIR滤波器的MATLAB设计，根据航海雷达特性设计的滤波器(MATLAB FIR filter design, according to the design of the filter characteristics of marine radar)

Schwarze Sonne RAT 1.0 by Slayer616

用MATLB演奏《卡农》的程序源码设计，可用类似方法编写其他歌曲(" Canon" played with MATLB program source design, can be written in a similar way to other songs)

解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。(Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequency and implicit points are drawn, implied the relationship between the point and the function approximation ability, the more number of hidden layer neurons. )

CC1110的各种程序例程，包括无线实验，TDMA和FDMA点对多点通信原代码(Various routines of CC1110, including wireless experiment, TDMA and FDMA point to multipoint communication source code)

在simulink里如何精确建模－好文推荐 Building Accurate, Realistic Simulink Models By Seth Popinchalk An accurate system model is one that performs as expected and produces the desired results. To achieve this level of accuracy you must have a clear modeling goal. For example, will the model be used strictly for simulation, or for generating embedded C code?? This article describes five modeling techniques that can help ensure accuracy: Select the right modeling approach Know your system, understand its dynamics Monitor fo (How accurate modeling in simulink- good text recommended)

Proper Orthogonal Decomposition of Gaussian blobs in an image sequence

北京航空航天大学出版的matlab从零到进阶第二章的示例程序(Beijing University of Aeronautics and Astronautics matlab published the first chapter from zero to advanced sample program)

Oswald efficiency estimation function