Manish Kumar Saini has Published 1143 Articles

Detection of Periodic Signals in the Presence of Noise (by Cross-Correlation)

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 11:24:48

2K+ Views

Detection of Periodic Signals in the Presence of NoiseThe noise signal is an unwanted signal which has random amplitude variation. The noise signals are uncorrelated with any periodic signal.Detection of the periodic signals masked by noise signals is of great importance in signal processing. It is mainly used in the ... Read More

Detection of Periodic Signals in the Presence of Noise (by Autocorrelation)

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 11:22:26

2K+ Views

Detection of Periodic Signals in the Presence of NoiseThe noise signal is an unwanted signal which has random amplitude variation. The noise signals are uncorrelated with any periodic signal.Detection of the periodic signals masked by noise signals is of great importance in signal processing. It is mainly used in the ... Read More

Cross Correlation Function and its Properties

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 11:18:28

16K+ Views

Cross Correlation FunctionThe cross correlation function between two different signals is defined as the measure of similarity or coherence between one signal and the time delayed version of another signal.The cross correlation function is defined separately for energy (or aperiodic) signals and power or periodic signals.Cross Correlation of Energy SignalsConsider ... Read More

Autocorrelation Function of a Signal

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 11:10:18

1K+ Views

Autocorrelation FunctionThe autocorrelation function defines the measure of similarity or coherence between a signal and its time delayed version. The autocorrelation function of a real energy signal $\mathit{x}\mathrm{(\mathit{t})}$ is given by, $$\mathit{R}\mathrm{(\mathit{\tau})} \:\mathrm{=}\: \int_{-\infty}^{\infty}\mathit{x\mathrm(\mathit{t})}\:\mathit{x}\mathrm{(\mathit{t-\tau})}\:\mathit{dt}$$Energy Spectral Density (ESD) FunctionThe distribution of the energy of a signal in the frequency domain is ... Read More

What is Energy Spectral Density?

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 07:45:53

10K+ Views

Energy Spectral DensityThe distribution of the energy of a signal in the frequency domain is known as energy spectral density (ESD) or energy density (ED) or energy density spectrum. The ESD function is denoted by $\mathrm{\mathit{\psi \left ( \omega \right )}}$ and is given by, $$\mathrm{\mathit{\psi \left ( \omega \right ... Read More

Autocorrelation Function and its Properties

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 07:24:45

25K+ Views

What is Autocorrelation?The autocorrelation function of a signal is defined as the measure of similarity or coherence between a signal and its time delayed version. Thus, the autocorrelation is the correlation of a signal with itself.The autocorrelation function is defined separately for energy or aperiodic signals and power or periodic ... Read More

Time Differentiation Property of Laplace Transform

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 07:18:44

10K+ Views

Laplace TransformThe Laplace transform is a mathematical tool which is used to convert the differential equation in time domain into the algebraic equations in the frequency domain or s-domain.Mathematically, if $\mathrm{\mathit{x\left ( \mathit{t} \right )}}$ is a time domain function, then its Laplace transform is defined as, $$\mathrm{\mathit{L\left [ x\left ... Read More

Common Laplace Transform Pairs

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 07:06:11

3K+ Views

Laplace TransformThe linear time invariant (LTI) system is described by differential equations. The Laplace transform is a mathematical tool which converts the differential equations in time domain into algebraic equations in the frequency domain (or s-domain).If $\mathrm{\mathit{x\left ( t \right )}}$ is a time function, then the Laplace transform of ... Read More

Signals and Systems – Relation between Laplace Transform and Z-Transform

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 07:01:24

12K+ Views

Z-TransformThe Z-transform (ZT) is a mathematical tool which is used to convert the difference equations in time domain into the algebraic equations in z-domain.Mathematically, if $\mathit{x}\mathrm{\left(\mathit{n}\right)}$ is a discrete-time signal or sequence, then its bilateral or two-sided Z-transform is defined as −$$\mathrm{\mathit{Z}\mathrm{\left[\mathit{x}\mathrm{\left(\mathit{n}\right)}\right]}\:\mathrm{=}\:\mathit{X}\mathrm{\left(\mathit{z}\right)}\:\mathrm{=}\:\sum_{\mathit{n=-\infty}}^{\infty}\mathit{x}\mathrm{\left(\mathit{n}\right)}\mathit{z^{-\mathit{n}}}\:\:\:\:\:\:...(1)}$$Where, z is a complex variable.Also, the unilateral or ... Read More

Signals and Systems – Relation between Discrete-Time Fourier Transform and Z-Transform

Manish Kumar Saini

Manish Kumar Saini

Updated on 07-Jan-2022 06:51:41

21K+ Views

Discrete-Time Fourier TransformThe Fourier transform of the discrete-time signals is known as the discrete-time Fourier transform (DTFT). The DTFT converts a time domain sequence into frequency domain signal. The DTFT of a discrete time sequence $\mathit{x}\mathrm{\left(\mathit{n}\right)}$ is given by, $$\mathrm{\mathit{F}\mathrm{\left[\mathit{x}\mathrm{\left(\mathit{n}\right)}\right]}\:\mathrm{=}\:\mathit{X}\mathrm{\left(\mathit{\omega}\right)}\:\mathrm{=}\:\sum_{\mathit{n=-\infty}}^{\infty}\mathit{x}\mathrm{\left(\mathit{n}\right)}\mathit{e^{-j\omega n}}\:\:\:\:\:\:...(1)}$$Z-TransformThe Z-transform is a mathematical which is used to convert ... Read More

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