# Tag Info

Accepted

### Doubts on LMS derivation

Here I expected $y(n)$ is to be computed by convolving $x(n)$ with $h(n)$, but in the equation given by Wikipedia it is shown as a matrix multiplication $y(n) = h^H(n).x(n)$. Are these two ...
• 25.7k
Accepted

### Unable to understand the derivation of the update equation for LMS

so with an LMS filter, we have a time-variant $N$-tap FIR filter: $$y[n] = \sum\limits_{k=0}^{N-1} h_n[k] \, x[n-k]$$ $x[n]$ is the input signal, $y[n]$ is the FIR output, and $h_n[k]$ are the FIR ...

### Variable Step Size LMS vs Leaky LMS Adaptive Filter Algorithm

Variable step size LMS is generally used to improve the speed of convergence or decrease steady-state error. Leaky adaptation is used to combat problems like the potential instability of the filter in ...
• 321

• 28.2k
1 vote
Accepted

### Can Temperature Data be Predicted Using Adaptive Filter (Such As LMS) Algorithm?

Yes you can predict future temperatures, based on past temperatures, using adaptive filtering as well. The optimal linear estimation of a WSS random process from its past values, which is known as ...
• 28.2k
1 vote

### Recursive Least Square Adaptive Linear Equalizer

To answer (1) the adaptive equalizer without a training sequence (blind equalization) can be used based on the decisions of the received sequence. This specifically is called a "decision directed ...
• 51k
1 vote
Accepted

### Fair performance comparison betweem LMS & NLMS

For fair comparison of one algorithm to another, the value of step size does not need to be same. You can adjust the step sizes of both algorithm so that the mean-squared-error learning curves base ...
1 vote

### Block LMS with overlapping blocks

There is no hard rule regarding convergence speed of the block-LMS vs sample-by-sample LMS. It really depends on the scenario. On top of my head is the following two (stationary) scenarios: A very ...
1 vote
Accepted

### Equalizer coefficients and channel coefficients

With a blind equalization technique like the constant modulus algorithm (which is often implemented using a least mean squares (LMS) filter as you indicated), you aren't directly estimating the ...
• 24.6k

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