ant_array_min_beamwidth

详细介绍信号检测理论的书，内容详尽，适合研究生和高年级本科生使用(Details of signal detection theory book, detailed, suitable for graduate and advanced undergraduate use)

说明：  一个用来测试神经网络的程序。在matlab中直接打开即可。(a neural network used to test procedures. In Matlab can be opened directly.)

This code is useful for time series problem.

使用MATLAB simulink 设计picoblaze (picoblaze design by MATLAB simulink)

彩色图像变成灰色图像，并对其进行直方图分析，二维直方图分析以及二维直方图的OTSU处理(Color images into gray image and its histogram analysis, OTSU processing of two-dimensional and two-dimensional histogram histogram analysis)

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

MATLAB实现的简单的OFDM模型源代码 这个Matlab程序是关于OFDM调制的。这里使用了BPSK调制，显示OFDM在误码率上的下降。(BPSK modulation with BER with and without OFDM)

说明：  Radon变换的matlab工具包，大家可以看看(radon&matlab)

Underdetermined Blind Source Separation using Sparse Representations(Underdetermined blind separation of delayed sound sources in the frequency domain)

a matlab code for easy