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Description: This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
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Size: 8192 |
Author: 张非 |
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Description: 卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法-Kalman filter is based on MMSE criterion to estimate the best, to seek a recursive estimation algorithm
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Size: 2048 |
Author: 假如 |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter
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Size: 1024 |
Author: nagendra |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter.
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Size: 1024 |
Author: Said |
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Description: 各种kalman滤波器的设计，应用小区域方差对比，程序简单，关于神经网络控制，合成孔径雷达（SAR)目标成像仿真，最小均方误差（MMSE）的算法，IDW距离反比加权方法。-Various kalman filter design, Application of small area variance comparison, simple procedures, On neural network control, Synthetic Aperture Radar (SAR) imaging simulation target, Minimum mean square error (MMSE) algorithm, IDW inverse distance weighting method.
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Size: 16384 |
Author: mnutpk |
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Description: 现代信号处理中谱估计在matlab中的使用，gmcalab 快速广义的形态分量分析，利用贝叶斯原理估计混合logit模型的参数，最小均方误差（MMSE）的算法，各种kalman滤波器的设计，有PMUSIC 校正前和校正后的比较，使用matlab实现智能预测控制算法。- Modern signal processing used in the spectral estimation in matlab, gmcalab fast generalized form component analysis, Bayesian parameter estimation principle mixed logit model, Minimum mean square error (MMSE) algorithm, Various kalman filter design, A relatively before correction and after correction PMUSIC, Use matlab intelligent predictive control algorithm.
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Size: 6144 |
Author: irpht |
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