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kalmanexpri
- The Kalman filter is a set of mathematical equations that provides an efficient computational [recursive] means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspe
dlsqrat
- least squares method
mmse_eq
- Here we design the minimum mean-squared error (MMSE) equalizer coefficients {q[k]}assuming that the input symbols {a[n]} and the noise { ˜ w[k]} are white random sequencesthat are uncorrelated with each other.-Here we design the minimum mean-squa
gabor
- The real and imaginary components of a complex Gabor filter are phase sensitive, i.e., as a consequence their response to a sinusoid is another sinusoid (see Figure 1.2). By getting the magnitude of the output (square root of the sum of squared
An-Adaptive-Block-Based-Eigenvector-Equalization.
- An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels.In this paper we present an adaptive Block- Based EigenVector Algorithm (BBEVA) for blind equalization of time-varying multipath fading channels. In addit
04470122.rar
- This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the obj
Android-jiugongge
- android九宫格代码实现 详细设计实现说明-android android squared squared code code
ppt
- After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-lik
I2CBUS
- I平方总线的概括，总结及注意事项，时序图的应用-I summed squared bus, conclusions and considerations, the timing diagram of the application
phasesym
- PHASESYM - Function for computing gabor features of a gray-scale image This function calculates gabor features. Mean-squared energy & meanAmplitude for each scale and orientation is returned.
MSE
- Mean squared normalized error performance function
psnr
- PSNR CALCULATION The Mean Square Error (MSE) and the Peak Signal to Noise Ratio (PSNR) are the two error metrics used to compare image compression quality. The MSE represents the cumulative squared error between the compressed and the original image,
MMSE Channel Estimator for OFDM Receiver
- 我们基于Jake模型重新推导了新的自相关函数，并基于新的自相关函数提出了一种通用最小均方误差（MMSE）信道估计器。 因此，由于其固有的鲁棒性，所提出的MMSE信道估计器可以被用于各种信道场景。 MMSE信道估计器的性能是通过实践DVB-T标准进行研究的，该标准表明MMSE信道估计器能以低复杂度实现非凡的最小平方误差性能(Based on the Jake model, we derive the new autocorrelation function and propose a univer