搜索资源列表
LMS111
- 应用LMS算法，用Matlab编程实现线性预测.-Application of LMS algorithm, using Matlab Programming Linear Prediction.
FIR
- FIR Wiener Filter Applications: The following demos demonstrate the corresponding applications fir_f - FIR Wiener Filter fir_p - FIR Wiener Linear Predictor fir_nc - FIR Wiener Noise Cancellation -FIR Wiener Filter Applications: The fo
yuceqi
- 分别采用维纳滤波和l-d算法设计一个6阶前向线性预测器，给出设计过程，matlab程序。 要求：1、得到预测器的权向量和预测误差功率 2、画出预测阶数和预测误差功率的曲线 3、在使用l-d算法时，假设 ， ，…… 未知 -Wiener filter and were used to design a 6-ld algorithm prior to the linear predictor order, given the design process, matlab prog
lms
- 自己编写的AR过程线形预测器的LMS算法-I have written of the AR process of the LMS algorithm linear predictor
dpcm
- A dpcm with 10th order linear predictor with different quantization levels
fde12
- 预估校正法，关于解分数阶微分方程的算法程序，适合非线性方程-Solves an initial value problem for a non-linear differential equation of fractional order (FDE). The code implements the predictor-corrector PECE method of Adams-Bashforth-Moulton
cokrige.m
- CO-KRIGING WITH RANDOM METHOD. 随机结合克里金方法。在地学中有很大的应用潜力，比如建模及矿物分布估计。-a variant of cokriging, in which the mean values of the vector components are related by linear combinations with known coefficients. Equations for the cokriging predictor and for the
fde12
- The Matlab code FDE12 implements the Predictor-Corrector method of Adams-Bashforth-Moulton for the numerical solution of a non-linear fractional differential equation (FDE) (download the Matlab code FDE12).
fde12
- The Matlab code FDE12 implements the Predictor-Corrector method of Adams-Bashforth-Moulton for the numerical solution of a non-linear fractional differential equation (FDE)
data-smooth
- 数据光滑matlab 2015a下运行。绘制源数据和光滑数据曲线，数据保存到EXECL文件。-Savitzky-Golay filter. A generalized moving average with filter coefficients determined by an unweighted linear least-squares regression and a polynomial model of specified degree (default is 2). The met
Lab8
- Statistical Signal Pro linear predictor example
LP_pdi_pc_general
- 在原-对偶可行路径跟踪法的程序算法的基础上，给出带预测校正的原-对偶路径跟踪法的算法程序，其对初始条件要求更宽松，可以是求解域外的点。-Using the method of the original- dual path tracking predictor corrector, solve the linear programming problem
speech reconstruction+SLP
- This paper proposes a new variant of the least square autoregressive (LSAR) method for speech reconstruction, which can estimate via least squares a segment of missing samples by applying the linear prediction (LP) model of speech. First, we show t
speech coding based on SLP-2009
- This paper describes a novel speech coding concept created by introducing sparsity constraints in a linear prediction scheme both on the residual and on the prediction vector. The residual is efficiently encoded using well known multi-pulse excitat