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  2. Generalized pencil-of-function method - Wikipedia

    en.wikipedia.org/wiki/Generalized_pencil-of...

    Prefiltering can be used to combat noise and enhance signal-to-noise ratio (SNR). [1] Band-pass matrix pencil (BPMP) method is a modification of the GPOF method via FIR or IIR band-pass filters. [1] [5] GPOF can handle up to 25 dB SNR. For GPOF, as well as for BPMP, variance of the estimates approximately reaches Cramér–Rao bound. [3] [5] [4]

  3. Signal-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Signal-to-noise_ratio

    In the above formula, P is measured in units of power, such as watts (W) or milliwatts (mW), and the signal-to-noise ratio is a pure number. However, when the signal and noise are measured in volts (V) or amperes (A), which are measures of amplitude, [note 1] they must first be squared to obtain a quantity proportional to power, as shown below:

  4. Zero-forcing equalizer - Wikipedia

    en.wikipedia.org/wiki/Zero-forcing_equalizer

    The zero-forcing equalizer applies the inverse of the channel frequency response to the received signal, to restore the signal after the channel. [1] It has many useful applications. For example, it is studied heavily for IEEE 802.11n (MIMO) where knowing the channel allows recovery of the two or more streams which will be received on top of ...

  5. Noise (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Noise_(signal_processing)

    Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory .

  6. Adaptive noise cancelling - Wikipedia

    en.wikipedia.org/wiki/Adaptive_noise_cancelling

    Adaptive noise cancelling is a signal processing technique that is highly effective in suppressing additive interference or noise corrupting a received target signal at the main or primary sensor in certain common situations where the interference is known and is accessible but unavoidable and where the target signal and the interference are unrelated, that is, uncorrelated [1] [2] [3].

  7. Total variation denoising - Wikipedia

    en.wikipedia.org/wiki/Total_variation_denoising

    The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.

  8. Wiener deconvolution - Wikipedia

    en.wikipedia.org/wiki/Wiener_deconvolution

    Here, / is the inverse of the original system, = / is the signal-to-noise ratio, and | | is the ratio of the pure filtered signal to noise spectral density. When there is zero noise (i.e. infinite signal-to-noise), the term inside the square brackets equals 1, which means that the Wiener filter is simply the inverse of the system, as we might ...

  9. Signal averaging - Wikipedia

    en.wikipedia.org/wiki/Signal_averaging

    Signal averaging is a signal processing technique applied in the time domain, intended to increase the strength of a signal relative to noise that is obscuring it. By averaging a set of replicate measurements, the signal-to-noise ratio (SNR) will be increased, ideally in proportion to the square root of the number of measurements.