pml_boundary

连续曲线近似地刻画或比拟平面上离散点组所表示的坐标之间的函数关系的一种数据处理方法。用解析表达式逼近离散数据的一种方法(Continuous curve approximation to characterize or compare groups of discrete points on the plane expressed by a function of the relationship between the coordinates of a data processing method. Approximation using the analytical expression of a method of discrete data)

说明：  维纳滤波器的原理及实现,有详细的推导过程(Principle and realization of the Wiener filter, a detailed derivation)

《MATLAB语言常用算法程序集》一书 的源程序 适用于初学者，有大量常用的函数。(" MATLAB language commonly used algorithm for assembly," a source book for beginners, there are a large number of commonly used functions.)

converting colors from rgb to hsi in matlab

灰色关联度分析，只需要直接输入数据即可用(grey relational analysis)

Matlab读取Excel操作，可以学习下交流交流(Matlab read Excel, you can learn from the exchange under the exchange)

利用PDE神经网络进行图像复原，较好的保留了源图像的边缘。(The use of PDE neural network for image restoration, the better to retain the edge of the source image.)

采用算术编码、汉明编码和QASK调制方法 采用Huffman编码、卷积译码和QFSK调制方法(Using arithmetic coding, Hamming coding and modulation method used QASK Huffman coding, convolution decoding and modulation method QFSK)

in this program, the sparse representation of data was calculated.

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))