N-Rcalculation

说明：  较权威的NS培训文档，希望对大家有所帮助(NS training more authoritative document, we want to help)

以正弦波信号为例，对其进行信源编码、译码，循环信道编码(a sinusoidal signal as an example, its source coding, decoding, channel coding cycle)

Roi acquisition, it could help us to demonstrate the region of interest that you like

<以Matlab为基础的生物信号处理和生物医学图像处理> 英文书籍配套源程序 第二版 Biosignal.and.Biomedical.Image.Processing (< To Matlab-based biological signal processing and biomedical image processing> English second edition Biosignal.and.Biomedical.Image.Processing books matching source)

利用卡尔曼滤波算法进行航迹融合的matlab仿真程序，附有pdf版的说明文件，非常详细，适合初学者。(Using the Kalman filtering algorithm of track fusion of MATLAB simulation program, accompanied by a PDF version of the documentation, very detailed, suitable for beginners.)

OFDM的在瑞利信道下的与单载波信号的识别算法，本人原创(OFDM in Rayleigh channel with single-carrier signal of the recognition algorithm, I am original)

it consists of a few tasks designing in matlab

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

FFT加窗分析，计算幅值，相位，可以自己定义信号，加窗后相位差以及插值法(FFT window analysis)

w_th_rec2 program used in the denoising muticopie transformed images via wavelet