least-mean-square adaptive algorithm
Acceleration Harmonics Identification for an Electro-Hydraulic Servo Shaking Table based on a Nonlinear Adaptive Algorithm
... new adaptive linear neural network using normalized least-mean-square adaptive algorithm to adjust the value of weight for harmonic identification in an electro-hydraulic servo ...
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Variable step size LMS adaptive filter for digital chromatic dispersion compensation in PDM QPSK coherent transmission system
... LMS adaptive equalizer and variable-step-size equalizer, here we mainly concentrate on the converged tap weights in the two ...LMS adaptive filter with 37 taps and ...LMS adaptive filter, the central ...
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A Review Paper on Adaptive Noise Cancellation Implementation using TMS320C6713 DSP Board
... (Fast Least Mean Square) adaptive algorithm to remove noise in voice communication ...of adaptive algorithms Normalized Least Mean Square (NLMS) and ...
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Analysis of the Sign Regressor Least Mean Fourth Adaptive Algorithm
... novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is ...
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De-Noising Of Speech Signal Using Adaptive Filter Algorithms
... LMS filter is the most popular and simple filter among all the adaptive process. The Least Mean Square (LMS) filter is a linear adaptive algorithm. It consists two main processes ...
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ECG Signal Denoising by Using Least-Mean-Square Based Adaptive Filter
... the adaptive NLMS filter denoises the power lineinterfer- ence from ECG signal exceptionally better than the- other LMS algorithm based adaptive filter [12], in terms ofSNR, PRD and ...based ...
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FIXED POINT LEAST MEAN SQUARE ADAPTIVE FINITE IMPULSE RESPONSE FILTER
... DLMS algorithm decouples computations of the error-computation block and the weight-update block and allows us to perform optimal pipelining by feed forward cut-set retiming of both these sections separately to ...
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Performance Analysis of LMS and Normalized LMS Adaptive Filter Algorithms
... It is a Normalized Least Mean Square algorithm. This is used to normalize the high input power of input vector u (t). When a high power signal comes in input vector, then LMS filter suffers ...
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Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
... (LMS) Least Mean Square adaptive filter is a well behaved signal processing algorithm is used in applications where a system to adapt to its ...one algorithm given good results ...
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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital
... ABSTRACT: Adaptive filter algorithm is a widely used method in communication systems, control systems, digital signal processing ...efficient adaptive filter ...are: Least Mean ...
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An active noise control algorithm with gain and power constraints on the adaptive filter
... the least-mean-square (LMS) algorithm, the limiting constraints can be placed directly in the frequency do- main, allowing the adaptive filter response to be reduced in the frequency ...
12
Digital compensation of chromatic dispersion in 112 Gbit/s PDM QPSK system
... normalized least mean square (NLMS) algorithm is developed to compensate CD in a 112-Gbit/s polarization division multiplexed quadrature phase shift keying (PDM-QPSK) coherent optical ...
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Noise Cancellation in Stochastic Wireless Channels using Coding and Adaptive Filtering
... of adaptive filters as these track the variations in the input signal compared to a given reference ...as adaptive filter trained with Least Mean Square (LMS), Normalised Least ...
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Design and Implementation of LMS and DLMS Adaptive Filter and its Performance Analysis based on FPGA
... a least mean square (LMS) adaptive filtering algorithm, using a 16 bit fixed-point arithmetic ...the algorithm when used to perform it over a pure software ...
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Correction of WOW and Flutter in Audio Signals using Least Mean Square Algorithm
... of adaptive filter so, we use least mean square algorithm ...of adaptive filtrations LMS has been implemented in equalization of data communication channel ...of least ...
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Encumbered Constancy Least Mean Square Algorithm for AEC’s in Mobile Communication Systems
... (AEC) algorithm play a vital role in mobile communication systems, which control the step size by decreasing the estimated error while improving the ...various adaptive filters named LMS, normalized LMS and ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... The adaptive beamforming algorithms are used for producing a maximum narrow beam in the desired direction and at the same time nulls in other ...existing adaptive beamforming algorithm that is ...
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DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN
... NLMS adaptive algorithm to remove noise in voice communication ...especially adaptive Normalized Least Mean Square (NLMS) ...digital adaptive filters for noise cancelling, ...
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Performance Analysis Of RLS Over LMS Algorithm For MSE In Adaptive Filters
... Recently Adaptive filtering schemes have frequently used in communications, signal processing, control and many other ...applications. Adaptive filtering scheme become the most popular due to their ...
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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms
... of adaptive filters with non-stationary inputs is a very complex ...NLMS algorithm is chosen on the basis of stability, transient response and steady- state ...NLMS algorithm (with regularization) ...
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